CN113343080A - Intelligent data analysis method, system and equipment and computer readable storage medium - Google Patents
Intelligent data analysis method, system and equipment and computer readable storage medium Download PDFInfo
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- CN113343080A CN113343080A CN202110543026.0A CN202110543026A CN113343080A CN 113343080 A CN113343080 A CN 113343080A CN 202110543026 A CN202110543026 A CN 202110543026A CN 113343080 A CN113343080 A CN 113343080A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
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Abstract
The application discloses a data intelligent analysis method, a system and equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring historical data of a website within preset time; screening historical data of the website to obtain associated data; displaying according to a preset format based on the screened associated data; according to the scheme, the website historical data are screened to obtain the associated data and display the associated data, so that a user can conveniently check the data and correspondingly operate the data, and the operation efficiency is improved.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method, a system, and a device for intelligently analyzing data and a computer-readable storage medium.
Background
With the rapid development of modern networks, the scale and complexity of the internet industry are continuously increased, the number of functions and services supported by websites is increased, and meanwhile, higher requirements are placed on the maintenance and development of new functions of websites. Under the condition of ensuring smooth operation of the network, the reasonable and effective management of the website becomes challenging work. Today, electronic commerce is increasingly competitive, higher requirements are put on the operation of websites, and it is an important function to analyze data while operating websites, so how to perform intelligent analysis on website data is a problem to be solved urgently.
Therefore, the prior art has yet to be improved.
Disclosure of Invention
The application aims to realize intelligent analysis of website data.
The technical purpose of the application is realized by the following technical scheme: an intelligent data analysis method, comprising:
acquiring historical data of a website within preset time;
screening historical data of the website to obtain associated data;
and displaying according to a preset format based on the screened associated data.
According to the scheme, the historical data of the website in the preset time can be acquired according to the user requirements, the historical data of the website is screened, the associated data required by the user is obtained, the user can visually know the associated data according to the display of the preset format, the user can conveniently acquire and check the data, and the user can operate the data in a targeted mode, so that the operation efficiency is improved.
Optionally, the method for intelligently analyzing data includes:
calling a historical browsing record of a website;
and acquiring a plurality of parameter data under each browsing record directory.
According to the technical scheme, historical browsing records of the website are called, a plurality of parameter data are associated under the directory of each browsing record, and the parameter data are acquired, so that the associated data required by the user can be obtained conveniently.
Optionally, the method for intelligently analyzing data includes the following steps of:
acquiring data and associated information corresponding to the user report type;
searching related data information of the current report type in the historical data of the website;
and storing the searched associated data according to a preset format.
According to the scheme, the user operation is performed by depending on the data of different reports, so that the data corresponding to the reports needs to be screened out of the historical website data, the report types of the user, the data corresponding to the report types and the associated information are obtained, the associated data are screened out of the obtained historical website data, the data corresponding to the report types and the associated information are screened out in a searching mode, and finally the associated data are obtained and stored according to a preset format, so that the subsequent processes of calling, checking, printing and the like are facilitated.
Optionally, the method for intelligently analyzing data further includes:
different report forms types, data corresponding to the report forms and associated information are preset.
According to the scheme, the corresponding relation is established by presetting different report types, corresponding data and associated information, so that the required parameter data and the report types are conveniently increased, and the method is suitable for different application scenes.
The application also discloses a data intelligent analysis system, wherein, include:
the historical data acquisition module is used for acquiring the historical data of the website within preset time;
the screening module is used for screening the historical data of the website to obtain associated data;
and the display module is used for displaying the screened associated data according to a preset format.
According to the scheme, the historical data of the website in the preset time can be acquired according to the user requirements, the historical data of the website is screened, the associated data required by the user is obtained, the user can visually know the associated data according to the display of the preset format, the user can conveniently acquire and check the data, and the user can operate the data in a targeted mode, so that the operation efficiency is improved.
Optionally, in the data intelligent analysis system, the historical data obtaining module includes:
the calling unit is used for calling the historical browsing records of the website;
and the parameter acquisition unit is used for acquiring a plurality of parameter data under each browsing record directory.
According to the technical scheme, historical browsing records of the website are called, a plurality of parameter data are associated under the directory of each browsing record, and the parameter data are acquired, so that the associated data required by the user can be obtained conveniently.
Optionally, the data intelligent analysis system, wherein the screening module includes:
the report information acquisition unit is used for acquiring data and associated information corresponding to the report type of the user;
the related information searching unit is used for searching related data information of the current report type in the historical data of the website;
and the storage unit is used for storing the searched related data according to a preset format.
According to the scheme, the user operation is performed by depending on the data of different reports, so that the data corresponding to the reports needs to be screened out of the historical website data, the report types of the user, the data corresponding to the report types and the associated information are obtained, the associated data are screened out of the obtained historical website data, the data corresponding to the report types and the associated information are screened out in a searching mode, and finally the associated data are obtained and stored according to a preset format, so that the subsequent processes of calling, checking, printing and the like are facilitated.
Optionally, the system for intelligently analyzing data further includes:
the preset module is used for presetting different report types, data corresponding to the report types and associated information.
According to the scheme, the corresponding relation is established by presetting different report types, corresponding data and associated information, so that the required parameter data and the report types are conveniently increased, and the method is suitable for different application scenes.
The application also discloses a data intelligent analysis device which comprises a memory and a processor, wherein the processor can be loaded and executes the data intelligent analysis method.
The application also discloses a computer readable storage medium, wherein the intelligent data analysis method which can be loaded and executed by the processor is stored.
In summary, the present application discloses a method, a system, and a device for intelligent data analysis and a computer-readable storage medium, wherein the method includes: acquiring historical data of a website within preset time; screening historical data of the website to obtain associated data; displaying according to a preset format based on the screened associated data; according to the scheme, the website historical data are screened to obtain the associated data and display the associated data, so that a user can conveniently check the data and correspondingly operate the data, and the operation efficiency is improved.
Drawings
FIG. 1 is a flow chart illustrating the steps of a method for intelligently analyzing data according to the present application.
Fig. 2 is a flowchart of step S1 of the intelligent data analysis method described in the present application.
Fig. 3 is a flowchart of step S2 of the intelligent data analysis method described in the present application.
Fig. 4 is a block diagram of an intelligent data analysis system according to the present application.
Fig. 5 is a block diagram of a historical data acquisition module of the intelligent data analysis system according to the present application.
FIG. 6 is a block diagram of a screening module of the intelligent data analysis system according to the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-6.
The application discloses a data intelligent analysis method aiming at problems existing in website operation and facilitating acquisition of relevant parameters required by website operation corresponding to browsing records of a user, and particularly relates to a step flow chart of the method with reference to fig. 1, wherein the method comprises the following steps:
s1, acquiring historical data of a website within preset time;
s2, screening historical data of the website to obtain associated data;
and S3, displaying the relevant data based on the screened relevant data according to a preset format.
The embodiment of the application discloses an intelligent data analysis method, which can intelligently display associated data aiming at website data, is convenient for a user to check and operate aiming at the data, and comprises the steps of firstly, obtaining the website historical data within preset time, namely obtaining the user access record of the website within a time period required by the user, wherein the website historical data can be obtained at a background end and comprises the IP (Internet protocol) of the user, the browsing website of the user, the browsing time of the user and the like, certainly, the obtained website historical data can also comprise some unnecessary data besides the data required by the user, so the website historical data needs to be screened, the data required by the user, namely the associated data and the data associated with the operation of the user are screened out, and the data are displayed according to a preset format based on the screened associated data The data required by the user can be visually displayed in the forms of bar charts, maps and line graphs.
In the foregoing solution, it is mentioned that the website history data is obtained, that is, the data source is obtained through the website history data in the background, in this embodiment of the application, specifically referring to fig. 2, which is a flowchart of the step S1, and the method for obtaining the website history data in the predetermined time includes:
s101, calling historical browsing records of a website;
s102, acquiring a plurality of parameter data under each browsing record directory.
The method for obtaining the historical data of the website mainly comprises the steps of calling historical browsing records of the website, wherein each historical browsing record of the website corresponds to a browsing directory, the browsing directory comprises a plurality of parameter data such as an IP address and access time of a user, and the parameter data under the browsing directory are correspondingly obtained after the historical browsing records of the website are called.
In the foregoing solution, after obtaining the website history data, the data required by the user is screened to obtain the associated data, in an embodiment of the present application, referring to fig. 3, the method for intelligently analyzing data is a flowchart of step S2, where the method for screening the website history data to obtain the associated data includes:
s201, acquiring data and associated information corresponding to the user report type;
s202, searching associated data information of the current report type in the historical data of the website;
and S203, storing the searched associated data according to a preset format.
In the embodiment of the application, the operation of the user is made based on the data in the data report of the user, different operation requirements are made, the required report data has difference, and the report type has a certain difference, in the embodiment of the application, the report type of the user, the data corresponding to the report type and the associated information are firstly obtained, in the scheme, the historical data of the website is obtained, when the historical data of the website is screened, according to the report type, according to the data corresponding to the report type and the associated information, for example, the report type is the browsing habit of the user, the associated information corresponding to the data in the report is the access time, the access duration and the access address, then in the historical data of the website, the access time is searched, all the access time is obtained, of course, some data are corresponding to each other, and the access address and the access time of the user are associated, the access address can be obtained by acquiring the access time, specifically, the access address can be intelligently searched according to the set corresponding relationship, data is screened, the obtained data is associated data after the data is screened, and the associated data is stored according to a preset format.
In the foregoing solution, it is mentioned that, different report types of users may also be different in corresponding required data, so in order to improve applicability and be suitable for different scenarios, in an embodiment of the present application, the method for intelligently analyzing data includes:
different report forms types, data corresponding to the report forms and associated information are preset.
In the embodiment of the application, in order to adapt to different application scenarios, because the types of the report are different and the associated data are also different, different report types, corresponding data and associated information are preset, a corresponding relationship is established, subsequent data screening is facilitated, meanwhile, the data can be updated regularly, for example, the corresponding associated data are also different for the same report types in different periods, and the report types and the associated data can be updated through the scheme.
In specific network operation, for better website management, website access data must be collected accurately in real time, data processing is performed according to specific requirements of website operation, and the collected information data is integrated and analyzed, so that resource flow and potential transaction conditions of a website can be grasped globally, service quality of a customer and operation business of the website are known, and powerful data support is provided for operation management of the website. The website is analyzed by clicking the record of the webpage by the user, and the most important purpose is to find the user demand pattern from massive data to find the user behavior and potential user information. Generally, the user's transaction pattern is found for the information left by the user in the website, such as IP, web click amount, browsing time, purchase information, etc. And displaying in a graphical display mode through a website internal program: pie charts, bar charts, maps, line graphs. And the visual data display is better provided for operators, so that the operators can analyze the website operation condition, the customer information flows, and the operation strategy is better made.
In the embodiment of the application, relevant type data and relevant information are statistically analyzed by screening different report types in a website background;
searching out the associated data information containing the current report type through a PHP + MySQL statement, and storing the associated data information into a corresponding data table;
acquiring data in a database table through a PHP + MySQL statement on a front-end page,
and displaying all related report information in a chart mode and the like by combining the designed HTML + CSS + JQuery.
The application has at least one of the following beneficial effects:
data visualization;
analyzing past data; intelligently analyzing different data in batch;
optimizing data processing based on database and program algorithm to reduce database pressure
Intelligently optimizing and displaying products and the like.
In the customer relationship management of the E-commerce website, the behavior of a website user is tracked, data information generated in the website is analyzed, and the user is continuously followed to deepen the understanding of the user. The user group is focused to provide personalized service, and the satisfaction degree of the user is improved. In the process of one-time transaction marketing, a website should pay attention to the importance of information feedback of two transaction parties, information communication cannot be terminated due to transaction completion, and a website operator should try to acquire information of a user generated in a transaction, including a user access path, a user access path source, a webpage access time, user transaction information and the like. The data information is crucial to marketing analysis, prediction of enterprises and formulation of future marketing strategies of companies.
The data analysis of the website can see the main sources of the user, which contents on the favorite website, the buyback rate of the user and the like. By analyzing the user behavior log, the layout, the content and the functions of the website can be further optimized, and better experience is provided for the user. And dividing the popularization budget and emphasizing and optimizing the tendency points of the user group and the like through the analysis result. Through data analysis of the website, the aims of assisting in improving the ranking of the website and improving the popularity of the website are achieved
The embodiment of the present application further discloses an intelligent data analysis system, referring to fig. 4, which is a structural block diagram of the system, wherein the system includes:
a historical data acquiring module 100, configured to acquire historical data of a website within a predetermined time;
the screening module 200 is used for screening the historical data of the website to obtain associated data;
and a display module 300, configured to display according to a predetermined format based on the screened associated data.
In the system of the present application, website history data in a predetermined time period, that is, a user access record of a website in a time period required by a user, is first acquired by the history acquisition module 100, and the website history data may be acquired at a backend, including an IP of the user, a website browsed by the user, a browsing time of the user, and the like, although the acquired website history data may include some unnecessary data besides data required by the user, so that the website history data needs to be screened, the data required by the user, that is, associated data, and data associated with operation of the user are screened out by the screening module 200, and finally, based on the screened associated data, the data is displayed by the display module 300 according to a predetermined format, in this embodiment of the present application, the predetermined format includes but is not limited to a pie chart, a bar chart, a map, and a broken line chart form, and data required by a user is visually displayed.
Further, in this embodiment of the present application, referring to fig. 5, which is a structural block diagram of the historical data obtaining module, the historical data obtaining module 100 includes:
the calling unit 101 is used for calling a website historical browsing record;
a parameter obtaining unit 102, configured to obtain a plurality of parameter data in each browsing record directory.
The historical data of the website is obtained mainly by calling the historical browsing records of the website through the calling unit 101, each historical browsing record of the website corresponds to one browsing directory, and under the browsing directory, the historical browsing records contain a plurality of parameter data, such as an IP address and access time of a user, and the parameter data are obtained through the parameter obtaining unit 102.
Further, in this embodiment of the present application, referring to fig. 6, a structural block diagram of the screening module is shown, where the data intelligent analysis system is described, where the screening module 200 includes:
a report information obtaining unit 201, configured to obtain data and associated information corresponding to a user report type;
the related information searching unit 202 is used for searching related data information of the current report type in the historical data of the website;
a storage unit 203 for storing the searched associated data in a predetermined format.
In the embodiment of the present application, the operation of the user is performed based on the data in the data report of the user, different operation requirements are met, the required report data has a difference, and the report type also has a certain difference, in the embodiment of the present application, the report type of the user, the data corresponding to the report type, and the associated information are obtained by the report information obtaining unit 201, in the foregoing scheme, the history data of the website has been obtained, when the history data of the website is screened, the report type is determined, the data corresponding to the report type and the associated information are determined, for example, the report type is the browsing habit of the user, the associated information corresponding to the data in the report is the access time, the access duration, and the access address, then in the history data of the website, the access time is searched by the associated information searching unit 202, and all the access time is obtained, of course, some data are corresponding to each other, the access address of the user is associated with the access time, and the access address can be obtained by obtaining the access time, specifically, the access address can be intelligently searched according to the set corresponding relationship, the data is filtered, and after the data is filtered, the obtained associated data is associated data, and the associated data is stored in a predetermined format through the storage unit 203.
Further, in this embodiment of the present application, the intelligent data analysis system further includes:
the presetting module 400 is configured to preset different report types, and data and associated information corresponding to the report types.
In the embodiment of the application, in order to adapt to different application scenarios, because the types of the reports are different and the associated data are also different, different report types, corresponding data and associated information are preset by the presetting module 400, a corresponding relationship is established, and subsequent data screening is facilitated.
The embodiment of the application also discloses intelligent data analysis equipment, which comprises a memory and a processor, wherein the processor can be loaded and used for executing the intelligent data analysis method.
The embodiment of the application also discloses a computer readable storage medium, wherein the intelligent data analysis method which can be loaded and executed by the processor is stored.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. An intelligent data analysis method is characterized by comprising the following steps:
acquiring historical data of a website within preset time;
screening historical data of the website to obtain associated data;
and displaying according to a preset format based on the screened associated data.
2. The intelligent data analysis method of claim 1, wherein the method for obtaining historical data of websites within a predetermined time comprises:
calling a historical browsing record of a website;
and acquiring a plurality of parameter data under each browsing record directory.
3. The intelligent data analysis method of claim 1, wherein the method for screening historical data of websites to obtain associated data comprises:
acquiring data and associated information corresponding to the user report type;
searching related data information of the current report type in the historical data of the website;
and storing the searched associated data according to a preset format.
4. The intelligent data analysis method of claim 3, further comprising:
different report forms types, data corresponding to the report forms and associated information are preset.
5. An intelligent data analysis system, comprising:
the historical data acquisition module is used for acquiring the historical data of the website within preset time;
the screening module is used for screening the historical data of the website to obtain associated data;
and the display module is used for displaying the screened associated data according to a preset format.
6. The intelligent data analysis system of claim 5, wherein the historical data acquisition module comprises:
the calling unit is used for calling the historical browsing records of the website;
and the parameter acquisition unit is used for acquiring a plurality of parameter data under each browsing record directory.
7. The intelligent data analysis system of claim 5, wherein the screening module comprises:
the report information acquisition unit is used for acquiring data and associated information corresponding to the report type of the user;
the related information searching unit is used for searching related data information of the current report type in the historical data of the website;
and the storage unit is used for storing the searched related data according to a preset format.
8. The intelligent data analysis system of claim 6, further comprising:
the preset module is used for presetting different report types, data corresponding to the report types and associated information.
9. An intelligent data analysis device comprising a memory and a processor, wherein the processor is capable of being loaded and executing the intelligent data analysis method of claims 1-4.
10. A computer-readable storage medium storing a data intelligent analysis method according to claims 1-4, which can be loaded and executed by a processor.
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