CN114676387A - Data statistical analysis method, system, readable storage medium and computer equipment - Google Patents
Data statistical analysis method, system, readable storage medium and computer equipment Download PDFInfo
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Abstract
The invention discloses a data statistical analysis method, a system, a readable storage medium and computer equipment, wherein the method comprises the following steps: acquiring test information of a plurality of samples, wherein the test information comprises a test type and test data corresponding to the test type; combining the inspection types in each sample in pairs according to a preset rule to obtain a combined inspection type; taking one of the combined inspection types as an abscissa and the other inspection type as an ordinate to establish a coordinate system; and performing data statistical analysis on the test information of the plurality of samples through the coordinate system according to the test data. The invention solves the problem that only a few data can be fixedly analyzed during sample inspection in the prior art.
Description
Technical Field
The invention relates to the technical field of data statistical analysis, in particular to a data statistical analysis method, a data statistical analysis system, a readable storage medium and computer equipment.
Background
SAMPLE INSPECTION (SAMPLE INSPECTION) is a targeted INSPECTION and evaluation of a product to exactly show the characteristics and performance of the product and verify whether the characteristics and performance of the product are consistent with a preset standard, so that the product can be conveniently and rapidly identified and purchased.
In the prior art, after data statistics of sample detection is carried out, only fixed data can be analyzed after statistics of the fixed data is carried out during statistical analysis, and the change of the data in a plurality of samples cannot be analyzed.
Disclosure of Invention
In view of the above, the present invention provides a method, a system, a readable storage medium and a computer device for statistical analysis of data, which are used to solve the problem that only a few data can be analyzed in a fixed manner during a sample test in the prior art.
The embodiment of the invention is realized as follows: a method of statistical analysis of data, the method comprising:
acquiring test information of a plurality of samples, wherein the test information comprises a test type and test data corresponding to the test type;
combining the inspection types in each sample in pairs according to a preset rule to obtain a combined inspection type;
taking one of the combined inspection types as an abscissa and the other inspection type as an ordinate to establish a coordinate system;
and performing data statistical analysis on the test information of the plurality of samples through the coordinate system according to the test data.
Further, in the statistical data analysis method, the step of combining two test types in each sample according to a preset rule to obtain a combined test type includes:
extracting key information of the test types, and combining the test types in each sample pairwise according to the similarity of the key information to obtain a combined test type.
Further, in the statistical data analysis method, the step of extracting key information of the test types and combining the test types in each sample two by two according to the similarity of the key information to obtain a combined test type includes:
extracting key information of the inspection types, obtaining similarity among the key information, determining a plurality of target inspection types with the similarity within a preset similarity range, and pairwise combining the plurality of target inspection types.
Further, the above statistical data analysis method, wherein the step of combining the test types in each sample in pairs according to a preset rule to obtain a combined test type further comprises:
and acquiring the association degree between the test types in each sample, determining a plurality of target test types with the association degree within a preset association degree range, and pairwise combining the plurality of target test types.
Further, in the above statistical data analysis method, the step of performing statistical data analysis on the test information of each of the samples through the coordinate system based on the test data includes:
obtaining a distribution point of the corresponding combined inspection type of each sample in the coordinate system;
and determining the variation trend of the test data of the plurality of samples according to the distribution points, and analyzing the plurality of samples according to the variation trend.
Further, in the above statistical data analysis method, the determining a trend of the test data of the plurality of samples according to the distribution point, and analyzing the plurality of samples according to the trend includes:
and acquiring a dense area of the distribution points, determining the variation trend of the test data of the plurality of samples according to the distribution points in the dense area, and analyzing the plurality of samples according to the variation trend.
Another object of the present invention is to provide a data statistical analysis system, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the inspection information of a plurality of samples, and the inspection information comprises an inspection type and inspection data corresponding to the inspection type;
The combination module is used for combining the inspection types in each sample in pairs according to a preset rule to obtain a combined inspection type;
the establishing module is used for taking one of the combined inspection types as an abscissa and taking the other inspection type as an ordinate so as to establish a coordinate system;
and the analysis module is used for carrying out data statistical analysis on the test information of each sample through the coordinate system according to the test data.
Further, in the above data statistical analysis system, the combination module includes:
and the extraction unit is used for extracting the key information of the inspection types and combining the inspection types in each sample pairwise according to the similarity of the key information to obtain a combined inspection type.
Further, in the above data statistical analysis system, the extracting unit is specifically configured to:
extracting key information of the inspection types, obtaining similarity among the key information, determining a plurality of target inspection types with the similarity within a preset similarity range, and pairwise combining the plurality of target inspection types.
Further, in the above data statistical analysis system, the combination module further includes:
The determining unit is used for acquiring the association degree between the test types in each sample, determining a plurality of target test types with the association degree within a preset association degree range, and pairwise combining the plurality of target test types.
Further, in the above data statistical analysis system, the analysis module includes:
a distribution point acquisition unit, configured to acquire a distribution point of the corresponding combined inspection type of each sample in the coordinate system;
and the analysis unit is used for determining the change trend of the inspection data of the plurality of samples according to the distribution points and analyzing the plurality of samples through the change trend.
Further, in the above data statistical analysis system, the analysis unit is specifically configured to:
and acquiring a dense area of the distribution points, determining the variation trend of the test data of the plurality of samples according to the distribution points in the dense area, and analyzing the plurality of samples according to the variation trend.
It is a further object of embodiments of the invention to provide a readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method as described above.
It is a further object of embodiments of the invention to provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method as described above when executing the program.
According to the invention, by acquiring the test types and the test data in the test information of a plurality of samples, carrying out custom combination on the test types through the preset rules, and then carrying out statistical analysis on the samples through corresponding test data in a mode of setting horizontal and vertical coordinates by self, compared with the prior art that only a plurality of groups of data can be subjected to fixed statistical analysis, various changes of the data detected by the samples can be analyzed.
Drawings
FIG. 1 is a flow chart of a statistical data analysis method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a statistical data analysis method according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a statistical data analysis method according to a third embodiment of the present invention;
fig. 4 is a block diagram of a data statistical analysis system according to a fourth embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed types.
SAMPLE INSPECTION (SAMPLE INSPECTION) is a targeted INSPECTION and evaluation of a product to exactly show the characteristics and performance of the product and verify whether the characteristics and performance of the product are consistent with a preset standard, so that the product can be conveniently and rapidly identified and purchased.
In the prior art, after the data statistics of sample detection is carried out, only fixed data can be counted and analyzed when statistical analysis is carried out, and the change of the data in a plurality of samples cannot be analyzed.
How to analyze various changes in the data examined in the test sample will be described in detail below with reference to specific examples and the accompanying drawings.
Example one
Referring to FIG. 1, a statistical data analysis method according to a first embodiment of the present invention is shown, which includes steps S10-S13.
Step S10, obtaining test information of a plurality of samples, wherein the test information comprises a test type and test data corresponding to the test type.
The inspection information of the sample includes an inspection type of the sample to be inspected and inspection data corresponding to the inspection type, for example, whether the sample contains a certain component and a corresponding content, and specifically, the inspection information may be acquired by manually inputting the inspection information into a designated system, or may be acquired directly by an inspection system for inspecting the sample information by establishing a communication connection with the inspection system for inspecting the sample information.
And step S11, combining the test types in each sample pairwise according to a preset rule to obtain a combined test type.
The detection types in each sample are combined in pairs according to a preset rule according to actual needs to obtain a combined detection type of two specific detection types, for example, the detection information of each sample contains 6 detection types, the 6 detection types can be combined in pairs according to the preset rule, wherein 1 detection type can be combined with one of the other 5 detection types respectively, and the change of any data can be analyzed in a self-defined combination mode.
And step S12, taking one of the combined test types as an abscissa and the other test type as an ordinate to establish a coordinate system.
Specifically, in order to analyze the data of the test types, one of the combined test types is used as an abscissa and the other is used as an ordinate, a coordinate system is established based on the abscissa, and the distribution of the test information of the sample on the coordinate system can be obtained through the corresponding data.
Step S13, performing a data statistical analysis on the test information of the plurality of samples through the coordinate system according to the test data.
It is understood that there is a set of test data corresponding to each test type of the sample, the distribution of the corresponding test types on the coordinate system can be found through the test data, and the distribution of the multiple samples on the same coordinate system can be obtained through multiple sets of test data in the multiple samples, that is, the test information of the multiple samples is statistically analyzed.
In summary, in the data statistical analysis method in the above embodiments of the present invention, by obtaining the inspection types and the inspection data in the inspection information of the plurality of samples, and performing the custom combination on the inspection types through the preset rule, and then performing the statistical analysis on the samples through the corresponding inspection data in the manner of automatically setting the horizontal and vertical coordinates, compared with the prior art in which only several sets of data are statistically analyzed, various changes of the data inspected by the samples can be analyzed.
Example two
Referring to FIG. 2, a statistical data analysis method according to a second embodiment of the present invention is shown, which includes steps S20-S23.
Step S20, obtaining test information of a plurality of samples, wherein the test information comprises a test type and test data corresponding to the test type.
And step S21, extracting key information of the test types, and combining the test types in each sample pairwise according to the similarity of the key information to obtain a combined test type.
The key information is the main index information which mainly represents the type of the test and needs to be tested, for example, when the two test types are different, the main purpose of the test data is to test whether the sample meets a certain identical standard.
Specifically, in some optional embodiments of the present invention, in order to improve the universality of data analysis, the step of extracting the key information of the test type, and combining the test types in each sample two by two according to the similarity of the key information to obtain a combined test type includes:
extracting key information of the inspection types, obtaining similarity among the key information, determining a plurality of target inspection types with the similarity within a preset similarity range, and pairwise combining the plurality of target inspection types.
By acquiring the similarity between the key information and combining a plurality of target inspection types with the similarity within the preset similarity range, the number of combined inspection types is increased, and the universality of data analysis is further increased.
And step S22, taking one of the combined test types as an abscissa and the other test type as an ordinate to establish a coordinate system.
And step S23, performing data statistical analysis on the test information of the plurality of samples through the coordinate system according to the test data.
Specifically, distribution points of the corresponding combined test type of each sample in the coordinate system are obtained;
And determining the variation trend of the test data of the plurality of samples according to the distribution points, and analyzing the plurality of samples according to the variation trend.
It can be understood that the trend of the data detected by each sample can be visually understood through the distribution of the distribution points distributed in the coordinate system, for example, in which data interval the detection data is mainly concentrated and the change of the detection data in the data interval.
In some optional embodiments of the present invention, in order to further improve the accuracy of the data change analysis, the determining the test data change trend of the plurality of samples according to the distribution point, and analyzing the plurality of samples according to the change trend includes:
and acquiring a dense area of the distribution points, determining the variation trend of the test data of the plurality of samples according to the distribution points in the dense area, and analyzing the plurality of samples according to the variation trend.
Specifically, in order to avoid the influence of discrete distribution points on data change trend analysis in a coordinate system, a dense region with more distribution points is obtained, wherein the dense region is mainly determined by the number of the distribution points in a preset area (such as a unit area), when the number of the distribution points in the preset area is greater than a preset threshold value, the current region is a dense region with the distribution points, the distribution points in the dense region are more representative, and the change trend of the inspection data detected by analyzing a sample according to the distribution points in the dense region further improves the accuracy of data change analysis.
In summary, in the data statistical analysis method in the above embodiments of the present invention, by obtaining the test types and the test data in the test information of the plurality of samples, and performing the custom combination on the test types through the preset rule, and then performing the statistical analysis on the samples through the corresponding test data in the manner of automatically setting the horizontal and vertical coordinates, compared with the prior art in which only several sets of data are statistically analyzed, a plurality of changes of the data tested by the samples can be analyzed.
EXAMPLE III
Referring to fig. 3, a statistical data analysis method according to a third embodiment of the present invention is shown, which includes steps S30-S33.
Step S30, obtaining test information of a plurality of samples, wherein the test information comprises a test type and test data corresponding to the test type.
Step S31, obtaining the correlation degree between the test types in each sample, determining a plurality of target test types with the correlation degree within a preset correlation degree range, and pairwise combining the plurality of target test types.
The relevance reflects the relevance between the detection types, indicates that a certain relevance exists between the two detection types, and the data change between the relevant detection types can be intuitively known by combining the relevant detection types and analyzing through a coordinate system.
And step S32, taking one of the combined test types as an abscissa and the other test type as an ordinate to establish a coordinate system.
Step S33, performing a data statistical analysis on the test information of the plurality of samples through the coordinate system according to the test data.
In summary, in the data statistical analysis method in the above embodiments of the present invention, by obtaining the test types and the test data in the test information of the plurality of samples, and performing the custom combination on the test types through the preset rule, and then performing the statistical analysis on the samples through the corresponding test data in the manner of automatically setting the horizontal and vertical coordinates, compared with the prior art in which only several sets of data are statistically analyzed, a plurality of changes of the data tested by the samples can be analyzed.
Example four
Referring to fig. 4, a statistical data analysis system according to a fourth embodiment of the present invention is shown, the system including:
an obtaining module 100, configured to obtain inspection information of a plurality of samples, where the inspection information includes an inspection type and inspection data corresponding to the inspection type;
the combination module 200 is used for combining the inspection types in each sample in pairs according to a preset rule to obtain a combined inspection type;
A building module 300, configured to use one of the inspection types in the combination as an abscissa and another inspection type as an ordinate to build a coordinate system;
an analysis module 400, configured to perform data statistics analysis on the test information of each sample through the coordinate system according to the test data.
Further, in the above data statistical analysis system, the combination module includes:
and the extraction unit is used for extracting the key information of the inspection types and combining the inspection types in each sample pairwise according to the similarity of the key information to obtain a combined inspection type.
Further, in the above data statistical analysis system, the extracting unit is specifically configured to:
extracting key information of the inspection types, obtaining similarity among the key information, determining a plurality of target inspection types with the similarity within a preset similarity range, and pairwise combining the plurality of target inspection types.
Further, in the above data statistical analysis system, the combination module further includes:
the determining unit is used for acquiring the association degree between the test types in each sample, determining a plurality of target test types with the association degree within a preset association degree range, and pairwise combining the plurality of target test types.
Further, in the above data statistical analysis system, the analysis module includes:
a distribution point acquisition unit for acquiring a distribution point of the corresponding combined inspection type of each sample in the coordinate system;
and the analysis unit is used for determining the change trend of the inspection data of the plurality of samples according to the distribution points and analyzing the plurality of samples through the change trend.
Further, in the above data statistical analysis system, the analysis unit is specifically configured to:
and acquiring a dense area of the distribution points, determining the variation trend of the test data of the plurality of samples according to the distribution points in the dense area, and analyzing the plurality of samples according to the variation trend.
In summary, in the embodiments of the present invention, by obtaining the test types and the test data in the test information of the plurality of samples, performing the custom combination on the test types according to the preset rule, and then performing the statistical analysis on the samples by setting the horizontal and vertical coordinates by itself through the corresponding test data, compared with the prior art in which only a plurality of sets of data are statistically analyzed, a plurality of changes of the data detected by the samples can be analyzed.
The functions or operation steps of the above modules when executed are substantially the same as those of the above method embodiments, and are not described herein again.
EXAMPLE five
Another aspect of the present invention also provides a readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the steps of the method according to any one of embodiments 1 to 3 above.
EXAMPLE six
Another aspect of the present invention also provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the processor implements the steps of the method according to any one of the above embodiments 1 to 3.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for statistical analysis of data, the method comprising:
Acquiring test information of a plurality of samples, wherein the test information comprises a test type and test data corresponding to the test type;
combining the inspection types in each sample in pairs according to a preset rule to obtain a combined inspection type;
taking one of the combined inspection types as an abscissa and the other inspection type as an ordinate to establish a coordinate system;
and performing data statistical analysis on the test information of the plurality of samples through the coordinate system according to the test data.
2. The statistical data analysis method of claim 1, wherein said step of combining said test types in each of said samples two by two according to a predetermined rule to obtain a combined test type comprises:
extracting key information of the inspection types, and combining the inspection types in each sample pairwise according to the similarity of the key information to obtain a combined inspection type.
3. The method of claim 2, wherein the step of extracting key information of the test types and combining the test types in each sample two by two according to the similarity of the key information to obtain a combined test type comprises:
Extracting key information of the inspection types, obtaining similarity among the key information, determining a plurality of target inspection types with the similarity within a preset similarity range, and pairwise combining the plurality of target inspection types.
4. The method for statistical analysis of data according to claim 1, wherein said step of pairwise combining said test types in each of said samples according to a predetermined rule to obtain a combined test type further comprises:
and acquiring the association degree between the test types in each sample, determining a plurality of target test types with the association degree within a preset association degree range, and pairwise combining the plurality of target test types.
5. The method of any of claims 1 to 4, wherein the step of performing a data statistical analysis of the test information for each of the samples from the test data via the coordinate system comprises:
obtaining distribution points of the corresponding combined inspection type of each sample in the coordinate system;
and determining the variation trend of the inspection data of the plurality of samples according to the distribution points, and analyzing the plurality of samples through the variation trend.
6. The method of claim 5, wherein the step of determining a trend of the test data of the plurality of samples according to the distribution point and analyzing the plurality of samples according to the trend comprises:
and acquiring a dense area of the distribution points, determining the variation trend of the test data of the plurality of samples according to the distribution points in the dense area, and analyzing the plurality of samples according to the variation trend.
7. A system for statistical analysis of data, the system comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the inspection information of a plurality of samples, and the inspection information comprises an inspection type and inspection data corresponding to the inspection type;
the combination module is used for combining the inspection types in each sample in pairs according to a preset rule to obtain a combined inspection type;
the establishing module is used for taking one of the combined inspection types as an abscissa and taking the other inspection type as an ordinate so as to establish a coordinate system;
and the analysis module is used for carrying out data statistical analysis on the test information of each sample through the coordinate system according to the test data.
8. The system of claim 7, wherein the combination module comprises:
and the extraction unit is used for extracting key information of the inspection types, and combining the inspection types in each sample pairwise according to the similarity of the key information to obtain a combined inspection type.
9. A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method as claimed in any one of claims 1 to 6 when the program is executed by the processor.
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