Data Screening Panel for Unified Statistical Analysis
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Solution Overview
Problem
Current data processing methods for screening and statistical operations are inefficient and time-consuming, especially when dealing with numerous data types or filter conditions, requiring repetitive filtering and counting processes.
Innovation Solution
A method and apparatus for performing screening and statistical operations on data that involve obtaining a data region, receiving user instructions to filter and summarize content, classifying and summarizing data to obtain statistic results, and displaying these results on a screening panel, allowing for direct and quick visualization of data types and values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repetitive filtering and counting operations are performed for each data type or filter condition, then accurate statistical results are obtained, but data processing time and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary classification of all data into different types in advance, storing the classified data structure in memory. When statistical operations are needed, the pre-classified data can be directly queried and counted without repeating the filtering process, significantly reducing processing time while maintaining accuracy
Solution Approach 2:
The patent combines multiple filtering and counting operations into a single unified statistical processing step. By merging the classification and counting functions, the system achieves accurate statistical results for multiple filter conditions simultaneously without performing repetitive operations for each condition
2Adaptability or versatility
If multiple filter conditions are applied sequentially to screen data, then comprehensive statistical analysis is achieved, but the number of operations and computational load increase
Solution Approach 1:
The system implements a universal data classification structure that can handle multiple types of filter conditions (department, position, salary range, etc.) through a single unified approach. The classification mechanism is designed to be multi-functional, accommodating various statistical analysis needs without requiring separate filtering processes for each condition type
Solution Approach 2:
Data is pre-classified according to multiple attributes simultaneously during the initial processing stage. This preliminary multi-dimensional classification enables the system to respond to various statistical queries without applying multiple filter conditions sequentially, thereby reducing operational complexity while maintaining comprehensive analysis capability
3Loss of information
If manual screening and counting is performed for each department or category, then detailed data composition is obtained, but labor efficiency decreases
Solution Approach 1:
The system automatically performs data classification and statistical counting without requiring manual intervention for each department or category. The automated classification mechanism serves itself by maintaining an organized data structure that can be queried directly, eliminating the need for repetitive manual screening while preserving detailed data composition information
Solution Approach 2:
The system creates and maintains a classified copy of the data structure in memory, organized by different attributes and categories. This classified copy allows rapid retrieval and statistical analysis of data composition details without requiring manual screening of the original data, significantly improving productivity while maintaining information completeness
Data Source
AI summary
The embodiments of the present application provide a method, an apparatus, an electronic equipment and a storage medium for performing screening and statistical operation on data. The method includes: obtaining a data region on which screening and statistical operation is to be performed in a data table; the data region may contain content in multiple rows and multiple fields, and the content may have a plurality of different types; receiving a user's screen instruction for screening a field specified by a user to view in the data region; obtaining all the content contained in the field specified by the user to view in the data region according to the user's screen instruction; classifying and summarizing said all the content to obtain a classification statistic result of various types of content, wherein the statistic result includes the various types of content and values corresponding to the various types of content; displaying the statistic result on the screening panel in a specified way. The method can facilitate users to get statistic result in the simplest way, thus the threshold of data analysis can be lowered, time and labor can be saved and the efficiency of statistics can be improved.