Integrated Hierarchical Pie Charts and Tables for Web Analytics
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Solution Overview
Problem
Current web analytics tools lack effective visualization and management techniques to present data in a manner that answers business questions, particularly in displaying hierarchical data structures like pie charts and tables simultaneously and synchronously.
Innovation Solution
The method involves displaying slices from multiple levels of a hierarchical pie chart and corresponding nodes from a hierarchical table in the same window, with automatic synchronization of actions and data updates between the two, allowing for integrated visualization and management of web analytics data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If web analytics data is presented using separate pie charts and tables, then data can be visualized, but users cannot easily correlate data between the two views and must manually switch between them
Solution Approach 1:
The patent combines pie charts and tables into a single integrated hierarchical data presentation. The pie chart and table share a common data structure where table nodes correspond to pie chart slices, allowing users to view both visual and tabular representations simultaneously in the same window with automatic synchronization.
Solution Approach 2:
The hierarchical data structure serves multiple functions simultaneously: it generates both pie chart visualizations and table displays from the same data, provides synchronized navigation between views, and maintains consistent selection states across different presentation formats within a unified interface.
2Quantity of substance
If multiple levels of hierarchical data are displayed separately, then comprehensive data can be shown, but the interface becomes complex and requires multiple windows or pages
Solution Approach 1:
Multiple levels of hierarchical data from both pie charts and tables are merged into a single window display. The system presents hierarchical pie chart slices and corresponding table nodes simultaneously, allowing comprehensive data visualization without requiring multiple windows or pages.
Solution Approach 2:
The patent adds a visual dimension by combining tabular data with graphical pie chart representation in the same space. This dual-presentation approach allows hierarchical data to be explored both numerically in tables and visually through pie charts, reducing the need for additional navigation dimensions like separate windows or pages.
3Measurement precision
If users manually switch between pie chart and table views to correlate data, then data can be examined in detail, but time is lost and user efficiency decreases
Solution Approach 1:
The system implements automatic synchronization where selection actions in one view (pie chart or table) immediately update the other view. When a user selects a pie chart slice, the corresponding table node is automatically selected and highlighted, and vice versa, providing instant feedback that eliminates manual switching time.
Solution Approach 2:
The hierarchical data structure pre-establishes correspondence relationships between pie chart slices and table nodes. This preliminary organization allows the system to automatically identify and highlight related elements across views without requiring users to manually search or switch between presentations, saving time during data exploration.
Data Source
AI summary
Tools and techniques are provided to visualize and manage data. A hierarchical pie chart is placed in operational correspondence with a hierarchical table. Slices of a pie chart level correspond to nodes of a table level. When a user causes a change in a node/slice, the software automatically performs a matching change in the corresponding slice/node. This occurs for operational changes such as selection, creation, deletion, expanding (zoom in, drill down), contracting, updating data, and changing a label. The path taken through the table to reach the present data breakdown may also be displayed.