Interactive Summary Popup for Simpler Data Visualization Analysis
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Solution Overview
Problem
Existing data visualization tools struggle with complexity and usability, making it difficult for users to efficiently analyze large or complex data sets.
Innovation Solution
A data visualization user interface with a summary popup that includes interactive objects, providing instant and adaptive analytics by allowing users to select data marks, view distributions, and dynamically update visualizations through interactive icons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a complex user interface with multiple data visualizations is used to analyze large or complex data sets, then the analysis capability is improved, but the ease of operation deteriorates
Solution Approach 1:
The patent segments the data analysis process into distinct functional areas: data visualization displays, summary popup windows, and interactive object libraries. Each segment handles specific tasks, allowing users to access complex analysis capabilities through simplified, focused interfaces rather than overwhelming them with all features at once.
Solution Approach 2:
The summary popup acts as an intermediary between the main data visualization interface and the detailed data analysis functions. It provides a intermediate layer that aggregates and presents key information from multiple data sources, enabling users to access comprehensive analysis capabilities through a simplified summary view before drilling down into specific details.
2Loss of information
If multiple data visualizations are displayed to provide comprehensive data analysis, then the information completeness is improved, but the device complexity increases
Solution Approach 1:
The patent implements a nested structure where summary popup windows are embedded within the main data visualization interface. These popups contain condensed versions of data from multiple visualizations, and can themselves contain nested interactive elements. This nesting allows comprehensive information to be organized in hierarchical layers, maintaining completeness while reducing the apparent complexity at any single viewing level.
Solution Approach 2:
The patent adds a temporal and spatial dimension to data presentation by using popup windows that appear overlaying the main interface. This creates an additional layer of information display that doesn't require expanding the main interface layout, allowing comprehensive data to be presented in a compact, organized manner across multiple dimensional layers rather than requiring a sprawling single-plane interface.
3Adaptability or versatility
If interactive objects are added to the summary popup to enable dynamic data analysis, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The patent creates a library of reusable interactive objects (filters, sorts, highlights, etc.) that can be inserted into summary popups and data visualizations. These universal components perform multiple functions across different contexts, providing enhanced adaptability without requiring separate custom interfaces for each interaction type. The same filter object, for example, can operate on different data sets and visualization types.
Solution Approach 2:
The patent provides a pre-configured library of interactive objects that are prepared in advance with standard functionalities. Users can directly insert these pre-built objects into their analysis workflows without having to create interaction logic from scratch. This preliminary preparation of common interaction patterns reduces the complexity of implementing adaptable interfaces, as the heavy lifting of creating robust interactive elements has already been done.
Data Source
AI summary
A method displays a first data visualization according to user association of data fields with displayed data visualization properties. The data visualization includes visual data marks corresponding to data values for data fields in a dataset. A user selects a subset of the visual data marks. A popup summary is displayed that includes data value distributions for several data fields from the dataset. In the popup summary, a second user input is detected corresponding to a first data field whose data value distribution is displayed in the popup summary. The second user input associates the first data field with a first visualization property of the displayed data visualization properties. In response, a second data visualization is displayed according to association of data fields, including the first data field, with displayed data visualization properties.


