Data Analysis Interface with Attribution Result Message Card
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Solution Overview
Problem
Users without the capability to write a data analysis language face inefficiencies in performing attribution analysis, as they rely on technicians to obtain data, leading to decreased working efficiency.
Innovation Solution
A data analysis method and apparatus that displays a data analysis page with a control for obtaining a data analysis statement, which is then used to display an attribution result through a message card, allowing users to perform attribution analysis more conveniently and intelligently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users rely on technicians to obtain data analysis statements, then analysis accuracy is improved, but working efficiency deteriorates
Solution Approach 1:
The patent implements self-service by enabling users to directly write and execute data analysis statements without technician intervention. The system provides templates, automated recommendations, and intelligent assistance that empower users to perform attribution analysis independently, thereby eliminating the efficiency bottleneck while maintaining analysis quality through built-in validation and guidance mechanisms.
Solution Approach 2:
The patent introduces an intermediary layer between users and the data analysis system. This intermediary provides automated statement generation, template selection, and intelligent recommendations that bridge the gap between user capability and system complexity. The intermediary translates user intent into proper analysis statements while maintaining accuracy standards.
2Productivity
If users directly perform attribution analysis without technician assistance, then working efficiency is improved, but analysis accuracy may deteriorate
Solution Approach 1:
The patent implements feedback mechanisms that provide users with real-time guidance on statement quality, data validity, and analysis appropriateness. The system monitors user-generated statements, provides corrective feedback, and validates results to ensure accuracy standards are met while maintaining user autonomy and efficiency.
Solution Approach 2:
The system enables users to perform analysis independently while incorporating self-validation mechanisms that ensure accuracy. Users receive automated checks, error detection, and quality assurance features that allow them to maintain high standards without external intervention.
3Adaptability or versatility
If a complex data analysis language is used, then analysis capability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent segments the complex data analysis language into modular, reusable templates and components. Users can select from pre-defined templates for different analysis scenarios (attribution, comparison, trend analysis) and combine them through simple interfaces. This segmentation maintains full analytical capability while dramatically reducing operational complexity.
Solution Approach 2:
The patent creates a universal template system that handles multiple analysis types through a single interface framework. The same template mechanism supports attribution analysis, comparative analysis, trend analysis, and other query types, providing versatile analysis capability through a unified, easy-to-use interface.
Data Source
AI summary
The present disclosure relates to the field of data visualization technologies, and discloses a data analysis method and apparatus, a computer device, and a storage medium. The present disclosure provides a data analysis method, including: displaying a data analysis page, where the data analysis page includes a data analysis control; obtaining a data analysis statement based on interaction with the data analysis control, and displaying the data analysis statement on the data analysis page; and displaying a message card representing an attribution result on the data analysis page based on the data analysis statement, where the message card includes a data display area and an analysis result display area, the data display area is configured to display to-be-attributed data corresponding to the data analysis statement, and the analysis result display area is configured to display attribution result details corresponding to the to-be-attributed data.