A data processing method, device, equipment and storage medium

Abstract

The embodiments of the present application disclose a data processing method, device, equipment, and storage medium. The embodiments of the present application obtain sample data of transactions within a preset time period; screen the sample data to obtain valid sample data; Divide the valid sample data to obtain a data group corresponding to each transaction type; obtain correction parameters corresponding to each data group; analyze each data group according to the correction parameters of each data group to obtain an analysis result. The scheme can automatically filter and group sample data, and analyze each data group according to the correction parameters corresponding to each group of data groups, thereby improving the accuracy and efficiency of data processing.

Description

technical field [0001] The present application relates to the technical field of communications, and in particular to a data processing method, device, equipment, and storage medium. Background technique [0002] With the development of science and technology, more and more occasions need to analyze data. For example, consumer price index (CPI, Consumer Price Index) analysis can be performed on user consumption data. The relative number of time changes reflects the trend and degree of changes in the price level of goods and services purchased by users. [0003] In the existing technology, it is necessary to manually use methods such as "fixed people, fixed points, and timing" to collect the commodity prices required by the CPI. After manual verification of the collected prices, the corresponding CPI of the commodity is calculated, and the index is compiled manually. and finishing etc. In the existing scheme, the cost of manual data collection is high and inefficient, and t...

AI Technical Summary

Problems solved by technology

In the existing scheme, the cost of manual data collection is high and inefficient, and the quality of the collected data is difficult to verify. For example, some commodities collect prices every few days, and some commodities collect prices once every few months. The real-time performance of commodity prices is low. ; and the release of CPI takes a long time. For example, after the data is reported, it takes about two weeks from data verification, index compilation to sorting and release. In addition, because it is collected by manpower, it requires a lot of manpower, and manual data collection is also prone to errors

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