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A data analysis and processing method based on college data and a data analysis and processing method for employment trend data

A technology for data analysis and data processing, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as single analysis methods and data presentation methods, huge array data with heterogeneous structures, etc. Effects of stick analysis, quick analysis, and resolution of decision-making processing difficulties

Active Publication Date: 2021-07-27
SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
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  • Application Information

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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to overcome the analysis method and data presentation method of the existing data analysis of institutions of higher learning using simple SQ1 query language to carry out database statistical processing technology for huge and heterogeneous array data of different metrics and non-metrics For a single deficiency, provide a data analysis and processing method based on university data that can perform quantitative calculations and multi-standard comparisons, and a data analysis and processing method for employment trend data

Method used

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  • A data analysis and processing method based on college data and a data analysis and processing method for employment trend data
  • A data analysis and processing method based on college data and a data analysis and processing method for employment trend data
  • A data analysis and processing method based on college data and a data analysis and processing method for employment trend data

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specific Embodiment 1

[0044] A data analysis and processing method based on university data, the specific method steps are:

[0045] A. Describe the characteristics of the analysis category by comparing the discrete distribution statistical distribution of the characteristics;

[0046] B. The symmetric distance matrix between the analysis categories is obtained from the Euclidean distance between statistical frequency domain distributions;

[0047] C. Obtain a visual representation of clustering comparison and analysis according to the symmetric distance matrix;

[0048] Wherein, step A includes:

[0049] A1. Select the analysis category and its comparative characteristics;

[0050] A2. According to the analysis category and its comparative characteristics, use the SQL query language or basic data statistics methods to obtain the probability distribution of the comparative characteristics;

[0051] Step B includes:

[0052] B1. Perform discrete Fourier transform on the probability distribution ...

specific Embodiment 2

[0063] On the basis of the specific embodiment 1, in the step C, the visualization is represented as visualizations such as neighbor-joining method NJ (including unrooted tree, rooted tree and radial tree, etc.), unweighted average method UPGMA or Fitch-Margoliash method, etc. characterization. In this specific embodiment, a neighbor-joining tree is used for visual representation.

specific Embodiment 3

[0065] On the basis of specific embodiment 1 or 2, the Fourier transform is a fast Fourier transform. In this specific embodiment, fast Fourier transform is used in order to reduce the calculation amount.

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Abstract

The invention provides a data analysis and processing method based on college data and employment trend data, which describes the characteristics of the analysis category by comparing the statistical distribution of the characteristics; the analysis category is obtained by the Euclidean distance between statistical frequency domain distributions A symmetric Euclidean distance matrix among them; perform visual clustering comparison and analysis according to the symmetric Euclidean distance matrix. It can use the standard Euclidean distance between statistical feature distributions for quantitative calculation to obtain a symmetrical similarity distance matrix and present it in the form of an adjacency spanning tree, so that statistical features can be visualized intuitively and clearly, and it solves the problem of the decision-making process of relevant institutions and responsible persons. problem, and features fast and robust analysis.

Description

technical field [0001] The present invention relates to a data analysis and processing method based on college data and a data analysis and processing method for employment trend data, in particular to a data analysis and processing method based on college data and employment trend data applicable to the field of big data analysis Approach. Background technique [0002] Since the implementation of enrollment expansion policy in China's higher education in the late 1990s, the number of college graduates across the country has continued to increase and the overall quality and ability of graduates has declined. Coupled with the relatively insufficient demand for social employment positions, it is difficult for graduates to find employment. The problem is becoming more and more prominent, leading to an increasingly severe employment situation for graduates. In all provinces, like the whole country, the number of graduates from colleges and universities remains high, and the dem...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/338G06Q10/06G06Q50/20
CPCG06Q10/0637G06Q50/205G06F16/338
Inventor 李兆飞熊兴中汤勇
Owner SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
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