A method, apparatus and device for analyzing properties of a sample

A technology of sample attributes and samples, applied in the field of data analysis, can solve problems such as large resource consumption, high requirements for analysts, and low processing efficiency, and achieve the effect of reducing work requirements and improving analysis efficiency.

Active Publication Date: 2017-02-08
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the method of using data analysis tools to analyze sample attributes requires a high understanding of business and familiarity with analysis tools in order to be proficient in using data analysis tools such as charts to complete in-depth research on data. Therefore, analysts have high requirements And strong subjectivity;
[0006] Secondly, when there are many business attributes, the processing efficiency of traditional data analysis tools is low, and data analysts also need to study each attribute one by one, which consumes a lot of resources;
[0007] Finally, the existing methods are mainly based on subjective judgment and experience, lack a quantitative basis for judgment, and cannot uniformly evaluate numerical attributes and non-numeric attributes

Method used

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  • A method, apparatus and device for analyzing properties of a sample
  • A method, apparatus and device for analyzing properties of a sample
  • A method, apparatus and device for analyzing properties of a sample

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Experimental program
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Effect test

Embodiment 1

[0066] The embodiment of the present invention provides a sample property analysis method, see figure 1 , the method includes:

[0067] 101. Obtain the sample proportion R of each attribute value according to the number of samples and the total number of samples of each attribute value of the sample attribute in the sample i ;

[0068] 102. According to the sample proportion of each attribute value R i Arrange all the attribute values ​​of the sample attributes from small to large, and get the proportion sequence of the sample attributes [R 1 , R 2 …R n ]; n is the number of attribute values;

[0069] 103. The sample ratio of each attribute value is R i In turn, the sample proportion of each attribute value R i The sample proportion of the previous attribute value R 1 , R 2 …R i-1 Accumulate to get the cumulative proportion of each attribute value W i ;

[0070] 104. According to the cumulative proportion of each attribute value W i and the number n of attribute...

Embodiment 2

[0086] see figure 2 , an embodiment of the present invention provides a sample attribute analysis method, the method comprising:

[0087] 201. Remove abnormal attribute values ​​among the attribute values ​​of the sample attributes in the sample according to preset rules.

[0088] Specifically, the abnormal attribute values ​​in the sample attributes will lead to deviations in the analysis, so before the analysis, the abnormal attribute values ​​in the sample attributes need to be eliminated. see image 3 , after removing the outliers, the strong value of the sample attribute is reduced, but it can better reflect the actual distribution of the sample attribute.

[0089] 202. Obtain the sample proportion R of each attribute value according to the number of samples and the total number of samples of each attribute value of the sample attribute in the sample i ;

[0090] Specifically, R i It is equal to the ratio of the number of samples of each attribute value to the total...

Embodiment 3

[0105] see Figure 6 , the embodiment of the present invention provides a sample attribute analysis method, the sample in the embodiment of the present invention includes a total sample and sub-samples, the method includes:

[0106] 601. Remove abnormal attribute values ​​among the attribute values ​​of the sample attributes in the sample according to a preset rule.

[0107] Refer to step 201 for the specific process, and details are not repeated here.

[0108] 602. Calculate the proportion of the first sample of each attribute value in the total sample and the proportion of the second sample of the attribute value in the corresponding sub-samples, and then calculate the proportion of the first sample and the proportion of the second sample of each attribute value. The absolute difference of the sample proportions.

[0109] Specifically, for any attribute value i of the sample attribute in the total sample, the first sample ratio R of the attribute value i is obtained accord...

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Abstract

The invention discloses a sample attribute analysis method, device and equipment, and belongs to the field of data analysis. The method comprises the following steps: determining the ratio Ri of samples of each attribute value according to the amount of the samples of each attribute value of the sample attributes of all samples and the overall sample amount; ordering all the attribute values of the sample attributes from larger to smaller so as to obtain the ratio sequence of the sample attributes [R1, R2, R3...Rn]; accumulating the ratio Ri of samples of each attribute value with the former ratio of samples of each attribute value R1, R2...Ri-1, so as to obtain a accumulated ratio Wi of each attribute value; confirming an advantage value I of the sample attributes according to the accumulated ratio Wi and the amount n of the attribute values, and taking the advantage value I as the analysis result of the sample attributes. According to the invention, the problems that a current sample attribute analysis method has higher requirement on analysis personnel, is stronger in subjectivity, low in treatment efficiency, large in resource consumption, and has no unified evaluation reference are solved, the analysis efficiency is improved, the working requirement on analysis personnel is reduced, and a unified evaluation reference is provided.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to an analysis method, device and equipment for sample attributes. Background technique [0002] With the rapid development of storage technology, the amount of data is increasing, and a large amount of data is stored in the database. By analyzing various sample attributes of data, the distribution of data samples can be known, and the understanding of current business conditions can be deepened, which in turn helps decision-making. Among them, the sample attributes are divided into numeric attributes and non-numeric attributes, for example, age is a numeric attribute, and gender is a non-numeric attribute. [0003] At present, the method of analyzing the sample properties of data is mainly by data analysts using data such as Excel (one of the components of Microsoft Office), SPSS (Statistical Product and Service Solutions, statistical product and service solutions) charts, etc. The a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 曹明金中良
Owner HUAWEI TECH CO LTD
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