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Online shopping transaction price big data analysis device and method based on engineering material equipment

A technology for engineering materials and prices, applied in the field of transaction analysis, can solve the problems of large amount of equipment transaction price data, large amount of price analysis, and low analysis efficiency, so as to avoid inaccurate transaction price analysis, improve accuracy, and improve price orientation. sexual effect

Pending Publication Date: 2022-05-31
郭树龙
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Problems solved by technology

[0003] The present invention provides a large data analysis device and method based on online shopping transaction prices of engineering materials and equipment, which are used in the existing network transaction price data analysis process. The amount of equipment transaction price data provided in a single day is relatively large, resulting in a large amount of subsequent price analysis. To analyze the problem of low efficiency, the technical solution adopted is as follows:

Method used

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  • Online shopping transaction price big data analysis device and method based on engineering material equipment
  • Online shopping transaction price big data analysis device and method based on engineering material equipment
  • Online shopping transaction price big data analysis device and method based on engineering material equipment

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Embodiment Construction

[0045] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0046] Based on the big data analysis method of online shopping transaction prices of engineering materials and equipment, such as figure 1 with figure 2 As shown, the method includes:

[0047]S1. Obtain the location of the seller's company of all engineering materials and equipment on the online trading platform, and divide the seller's company into regions by province to form multiple transaction units; wherein, the number of the transaction unit is the same as the province where the seller company is located The numbers correspond to each other;

[0048] S2. Obtain the transaction quantity and transaction price of all engineering materials and equipment in eac...

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Abstract

The invention provides an online shopping transaction price big data analysis device and method based on engineering material equipment. The method comprises the following steps: acquiring the locations of seller companies of all engineering material equipment of a network transaction platform, and performing regional division on the seller companies by taking provinces as units to form a plurality of transaction units; obtaining the transaction quantity and transaction price of all engineering material equipment in each transaction unit in the network transaction platform; forming a price trend chart corresponding to each transaction unit according to the transaction quantity and the transaction price; and determining a price transaction space range according to the price trend chart. The device comprises modules corresponding to the steps of the method.

Description

technical field [0001] The invention proposes a big data analysis device and method based on online shopping transaction prices of engineering materials and equipment, and belongs to the technical field of transaction analysis. Background technique [0002] At present, in the case of a huge number of engineering materials transactions, the online shopping transaction prices of engineering materials and equipment are different, and the sales prices in different regions are also different. In the existing online shopping transaction price analysis process, by collecting transaction data of all equipment, Display every transaction price of all types of engineering materials and equipment in all ranges in a simple price list or fluctuation curve representation, resulting in a large amount of transaction price data for users when performing price analysis. This makes the follow-up analysis process tedious and complicated, greatly reducing the data analysis efficiency of follow-up...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q40/04
CPCG06Q30/0206G06Q40/04
Inventor 郭树龙
Owner 郭树龙
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