CN113393345A - Regional decision data analysis method - Google Patents
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- CN113393345A CN113393345A CN202110601273.1A CN202110601273A CN113393345A CN 113393345 A CN113393345 A CN 113393345A CN 202110601273 A CN202110601273 A CN 202110601273A CN 113393345 A CN113393345 A CN 113393345A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000012986 modification Methods 0.000 claims abstract description 11
- 230000004048 modification Effects 0.000 claims abstract description 11
- 230000000007 visual effect Effects 0.000 claims abstract description 8
- 238000007726 management method Methods 0.000 claims description 6
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
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Abstract
The invention discloses a regional decision data analysis method, which comprises a regional decision data analysis system and a regional decision data analysis method; the regional decision data analysis system comprises an input end, a server, an analysis end and a decision end, wherein the input end comprises an input module for inputting data and a modification module for modifying the data, the analysis end comprises a scoring module for converting the data into visual scores and a sorting module for sorting the data, and the decision end comprises an inquiry module for inquiring the scores and a decision module for making decisions; the method has the characteristics of simple operation, convenient use, low use threshold and high efficiency; a regional decision data analysis system is arranged, so that the whole process of data acquisition, data analysis and decision making can be completed in order; the system takes the duties of others without influencing each other, and the decision efficiency is improved; the diversity of the collected data optimizes the decision making and has more rationality; more professional suggestions are made for decision making.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a regional decision data analysis method.
Background
The regional decision-making in education is based on comprehensive analysis and demonstration, and through the comparison of multiple schemes, one or more schemes are selected, and the course of the implemented education guidelines, implementation methods and education policies is determined.
The educational situation of different areas is different, so that the different areas need to be sorted and analyzed to make better decisions for the areas.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a regional decision data analysis method which can solve the problems in the background art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a regional decision data analysis method comprises a regional decision data analysis system and a regional decision data analysis method;
the regional decision data analysis system comprises an input end, a server, an analysis end and a decision end, wherein the input end, the analysis end and the decision end are respectively in bidirectional connection with the server, the input end comprises an input module for inputting data and a modification module for modifying the data, the analysis end comprises a scoring module for converting the data into visual scores and a sorting module for sorting the data, and the decision end comprises a query module for querying the scores and a decision module for making decisions;
the regional decision data analysis method comprises the following steps:
step S1, input and modification data: inputting and uploading teacher data, student data and school data to the server through the input end, calling the data in the server and modifying the data through the modification module;
step S2, sorting data and grading: performing regional arrangement on teacher data, student data and school data, converting the arranged data into visual scores, and finally feeding the scores back to the server;
step S3, decision making: and calling data in the server, inquiring the score through an inquiry module, and finally making a decision through a decision module.
Furthermore, the server is provided with a data protection module which can protect the data in the server from being leaked;
furthermore, the teacher data comprises teaching satisfaction, teaching thesis quality and teacher titles, the student data comprises subject scores, competition awards and moral education scores, and the school data comprises campus environment, campus culture and education methods;
further, in the step S1, the step S2, and the step S3, the data called from the server all need to pass account password verification;
further, the input end is a computer and a smart phone;
furthermore, the management method of the decision end is authority management, and a user can access and can only access authorized resources.
Compared with the prior art, the invention has the beneficial effects that: the regional decision data analysis method has the characteristics of simple operation, convenience in use, low use threshold and high efficiency; a regional decision data analysis system is arranged, so that the whole process of data acquisition, data analysis and decision making can be completed in order; the system takes the duties of others without influencing each other, and the decision efficiency is improved; the diversity of the collected data optimizes the decision making and has more rationality; more professional suggestions are made for decision making.
Drawings
Fig. 1 is a flowchart of a method for analyzing area decision data according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a regional decision data system according to an embodiment of the present invention
Fig. 3 is a schematic structural diagram of a client according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an analysis end according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a decision end according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A regional decision data analysis method of the present invention is described in detail below with reference to fig. 1-5: a regional decision data analysis method comprises a regional decision data analysis system and a regional decision data analysis method;
the regional decision data analysis system comprises an input end, a server, an analysis end and a decision end, wherein the input end, the analysis end and the decision end are respectively in bidirectional connection with the server, the input end comprises an input module for inputting data and a modification module for modifying the data, the analysis end comprises a scoring module for converting the data into visual scores and a sorting module for sorting the data, and the decision end comprises a query module for querying the scores and a decision module for making decisions;
the regional decision data analysis method comprises the following steps:
step S1, input and modification data: inputting and uploading teacher data, student data and school data to the server through the input end, calling the data in the server and modifying the data through the modification module;
step S2, sorting data and grading: performing regional arrangement on teacher data, student data and school data, converting the arranged data into visual scores, and finally feeding the scores back to the server;
step S3, decision making: and calling data in the server, inquiring the score through an inquiry module, and finally making a decision through a decision module.
The server is provided with a data protection module which can protect the data in the server from being leaked; the teacher data comprises teaching satisfaction, teaching thesis quality and teacher titles, the student data comprises subject scores, competition awards and moral education scores, and the school data comprises campus environment, campus culture and education methods; in the step S1, the step S2 and the step S3, the data called from the server all need to pass account password verification; the input end is a computer and a smart phone; the management method of the decision-making end is authority management, and a user can access and only access authorized resources.
The working principle is as follows: the method comprises the following steps that a worker obtains data through questionnaire investigation and other modes, the data are uploaded to a server through an input module at the input end of a computer and a smart phone, and when data entry errors occur, the data can be modified through a modification module to complete the steps of inputting and modifying the data.
And then, data sorting is carried out at an analysis end, the data is sorted according to the range of the decision area and converted into visual scores, and a decision maker can conveniently analyze the data.
Finally, at a decision end, a decision maker can inquire the region data through the inquiry module according to actual needs, and make a decision on the region by integrating a plurality of schemes, and finally send out a notification through the decision module.
In conclusion, the regional decision data analysis method has the characteristics of simple operation, convenience in use, low use threshold and high efficiency; a regional decision data analysis system is arranged, so that the whole process of data acquisition, data analysis and decision making can be completed in order; the system takes the duties of others without influencing each other, and the decision efficiency is improved; the diversity of the collected data optimizes the decision making and has more rationality; more professional suggestions are made for decision making.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (6)
1. A regional decision data analysis method is characterized by comprising a regional decision data analysis system and a regional decision data analysis method;
the regional decision data analysis system comprises an input end, a server, an analysis end and a decision end, wherein the input end, the analysis end and the decision end are respectively in bidirectional connection with the server, the input end comprises an input module for inputting data and a modification module for modifying the data, the analysis end comprises a scoring module for converting the data into visual scores and a sorting module for sorting the data, and the decision end comprises a query module for querying the scores and a decision module for making decisions;
the regional decision data analysis method comprises the following steps:
step S1, input and modification data: inputting and uploading teacher data, student data and school data to the server through the input end, calling the data in the server and modifying the data through the modification module;
step S2, sorting data and grading: performing regional arrangement on teacher data, student data and school data, converting the arranged data into visual scores, and finally feeding the scores back to the server;
step S3, decision making: and calling data in the server, inquiring the score through an inquiry module, and finally making a decision through a decision module.
2. The method of analyzing region decision data according to claim 1, wherein: the server is provided with a data protection module which can protect the data in the server from being leaked.
3. The method of analyzing region decision data according to claim 1, wherein: the teacher data comprises teaching satisfaction, teaching thesis quality and teacher titles, the student data comprises subject scores, competition awards and moral education scores, and the school data comprises campus environment, campus culture and education methods.
4. The method of analyzing region decision data according to claim 1, wherein: in the steps S1, S2, and S3, the data called from the server all need to be verified by an account password.
5. The method of analyzing region decision data according to claim 1, wherein: the input end is a computer and a smart phone.
6. The method of analyzing region decision data according to claim 1, wherein: the management method of the decision-making end is authority management, and a user can access and only access authorized resources.
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| CN202110601273.1A CN113393345A (en) | 2021-05-31 | 2021-05-31 | Regional decision data analysis method |
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| CN202110601273.1A CN113393345A (en) | 2021-05-31 | 2021-05-31 | Regional decision data analysis method |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110306028A1 (en) * | 2010-06-15 | 2011-12-15 | Galimore Sarah E | Educational decision support system and associated methods |
| CN108416714A (en) * | 2018-04-24 | 2018-08-17 | 温州市鹿城区中津先进科技研究院 | A kind of configurable data visualization education big data platform |
| CN108520365A (en) * | 2018-04-23 | 2018-09-11 | 温州市鹿城区中津先进科技研究院 | Education decision system based on big data analysis |
| CN108648114A (en) * | 2018-04-24 | 2018-10-12 | 温州市鹿城区中津先进科技研究院 | A kind of school education big data cloud platform based on artificial intelligence |
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2021
- 2021-05-31 CN CN202110601273.1A patent/CN113393345A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110306028A1 (en) * | 2010-06-15 | 2011-12-15 | Galimore Sarah E | Educational decision support system and associated methods |
| CN108520365A (en) * | 2018-04-23 | 2018-09-11 | 温州市鹿城区中津先进科技研究院 | Education decision system based on big data analysis |
| CN108416714A (en) * | 2018-04-24 | 2018-08-17 | 温州市鹿城区中津先进科技研究院 | A kind of configurable data visualization education big data platform |
| CN108648114A (en) * | 2018-04-24 | 2018-10-12 | 温州市鹿城区中津先进科技研究院 | A kind of school education big data cloud platform based on artificial intelligence |
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