Multi-Dimensional Data Ranking in Visualization Queries
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Solution Overview
Problem
Existing software applications face challenges in efficiently ranking data stored in databases based on multiple dimensions, leading to suboptimal data retrieval and visualization.
Innovation Solution
A system and method that generate a visualization of data from a data model, allowing users to request ranking of measure values based on one or more dimensions, by generating a query with specific conditions and sending it to a computing system for processing, and updating the visualization with the ranked data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is retrieved from database for visualization, then complete data is available for display, but bandwidth utilization increases due to retrieving all data regardless of ranking needs
Solution Approach 1:
The patent extracts only the necessary ranked data from the database based on user-specified dimensions and ranking criteria. The query generation component formulates SQL queries that include ORDER BY clauses and LIMIT clauses to retrieve only the top N ranked records needed for visualization, rather than retrieving all data and filtering client-side.
Solution Approach 2:
The system performs preliminary ranking operations on the server side before data transmission. The query processing component executes ranking calculations and filters on the database server, preparing the final ranked result set before it is sent to the client application, thus avoiding unnecessary data transfer.
2Adaptability or versatility
If ranking is performed on client side after retrieving all data, then flexible ranking options are available, but data retrieval efficiency decreases
Solution Approach 1:
The patent introduces a query generation component as an intermediary between the user interface and the database. This component translates user ranking requirements into optimized SQL queries with appropriate ORDER BY, LIMIT, and offset clauses, enabling efficient server-side ranking while maintaining user flexibility in specifying ranking dimensions and top N values.
3Loss of information
If multiple dimensions are used for ranking, then more comprehensive analysis is provided, but query complexity increases
Solution Approach 1:
The patent segments the ranking process into distinct components: dimension selection, ranking criteria specification, and result retrieval. The system allows users to select one or more dimensions from a predefined set and specifies the top N value, then generates modular SQL queries that handle each dimension independently using GROUP BY and ORDER BY clauses, making the complex multi-dimensional ranking manageable and efficient.
Data Source
AI summary
Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may generate a visualization comprising a set of data from a data model. The set of data comprises a set of measure values categorized according to a plurality of dimensions. The program may receive a request to rank the set of measure values based on a first dimension in the plurality of dimensions and a second dimension in the plurality of dimensions. The program may in response to receiving the request, generating a query for a subset of the set of data for the visualization. The query comprises a set of conditions. The program may send the query to a computing system for processing. The program may receive, from the computing system, the subset of the set of data. The program may update the visualization to include the subset of the set of data.