Aggregate Data Display for Mass Data Analysis
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Solution Overview
Problem
Existing data display techniques are inefficient for comparing and intuitively displaying data across multiple years in mass data analysis, as they require manual filtering and keyword specification for each month, making the process time-consuming and difficult.
Innovation Solution
A method and system for aggregately displaying data entries from raw data content, allowing for selective and flexible display of desired data sets based on user requests or meta information, with the option to add visual tags for identification, enabling intuitive comparison and quick switching between data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data filtering function is used to display specific data entries, then data selection capability is improved, but operation complexity increases due to requiring multiple keyword specifications
Solution Approach 1:
The patent segments the data display process into two independent phases: (1) data selection through meta-information tagging during data entry, and (2) data retrieval through category-based selection. This segmentation eliminates the need for repeated keyword filtering operations, as users can select entire categories of tagged data at once during retrieval.
Solution Approach 2:
The patent applies preliminary action by requiring data to be tagged with meta-information (categories, keywords, tags) during the data entry phase. This preliminary organization enables efficient bulk retrieval later without requiring users to specify multiple keywords during the actual data selection process, thereby reducing operational complexity.
2Reliability
If manual scrolling and recording is used to compare data across multiple years, then data comparison is possible, but time consumption increases significantly
Solution Approach 1:
The patent creates virtual copies of data organized by meta-information tags. When users want to compare data across multiple years, the system automatically retrieves and displays all tagged data entries simultaneously in an aggregate view, eliminating the need for manual scrolling and recording while maintaining accurate comparison capability.
Solution Approach 2:
The patent adds a temporal dimension to data retrieval by enabling simultaneous display of data from multiple time periods. Instead of sequentially accessing data year by year, the system presents multi-year data in parallel through aggregate display, transforming the time-consuming sequential process into an instantaneous parallel operation.
3Productivity
If aggregate display of multiple data sets is implemented, then data comparison efficiency is improved, but display space requirements increase
Solution Approach 1:
The patent utilizes the temporal dimension to organize aggregate data displays, presenting multi-year data in a time-series layout that efficiently utilizes vertical display space. This dimensional approach allows comprehensive data comparison without requiring excessive horizontal screen real estate, maintaining high productivity while managing display space constraints.
Data Source
AI summary
According to an aspect of the present disclosure, there is provided a system, a method, and/or a computer program product for data display, comprising: acquiring raw data content; determining a first set of data entries to be aggregately displayed from the raw data content; and in response to a request for an aggregate display, aggregately displaying the first set of data entries.