CN117077640A - Unified processing method and device for multi-type dynamic table data - Google Patents
Unified processing method and device for multi-type dynamic table data Download PDFInfo
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- G06F40/174—Form filling; Merging
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Abstract
The invention provides a unified processing method and a unified processing device for multi-type dynamic table data, wherein the method comprises the following steps: determining a structure array of dynamic table types for a plurality of required processes; the structure body array comprises a plurality of structure body specifications, and each structure body specification corresponds to a different dynamic form type; acquiring a table dataset having a correspondence to at least one of the dynamic table types; and carrying out structuring treatment on the dynamic table data set based on the structural body array so as to obtain a corresponding structured dynamic table data set. Therefore, unified data acquisition, storage and association type statistics of the multi-type dynamic table are realized.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a unified processing method and device for multi-type dynamic form data of a human resource system.
Background
In recent years, as informationized waves roll up in various industries, information systems play an extremely important role in each industry and in the vertical field within the industry. In these information systems, the collection and application of tabular data is an indispensable component, so that the structured storage of tabular data is also an unavoidable technical node.
However, today, the relationship of the fields is more and more complicated, and the application of a multi-type multi-page nested form is also gradually becoming a trend. Therefore, how to collect, store and display these table data in a unified manner is a problem that needs to be solved in the industry.
Disclosure of Invention
The embodiment of the invention provides a unified processing method and device for multi-type dynamic form data of a human resource system, which are used for at least solving one of the technical problems.
In a first aspect, an embodiment of the present invention provides a unified processing method for multi-type dynamic table data of a human resource system, where a dynamic extension type of the human resource system includes a horizontal extension type and a vertical extension type, and the processing method includes: determining a structure array of dynamic table types for a plurality of required processes; the structure body array comprises a plurality of structure body specifications, and each structure body specification corresponds to a different dynamic form type; acquiring a table dataset having a correspondence to at least one of the dynamic table types; and carrying out structuring treatment on the table data set based on the structural body array so as to obtain a corresponding structuring table data set.
Preferably, after structuring the table dataset based on the structure array to obtain a corresponding structured table dataset, the method further comprises: extracting first structured form data corresponding to each dynamic form type required to be processed from the structured form data set; and respectively carrying out data splicing processing on the first structured form data of each dynamic form type to obtain corresponding spliced data of each type.
Preferably, after the data stitching processing is performed on the first structured form data of each dynamic form type, the method further includes: and according to the dynamic table type of the type splicing data, calling corresponding table rendering configuration to perform table rendering operation.
Preferably, the determining a structure array of dynamic table types for a plurality of required processes includes: aiming at each dynamic form type required to be processed, acquiring a form attribute corresponding to the dynamic form type, and determining a corresponding structure body specification according to the form attribute; and determining a structure array according to the structure specification corresponding to each required processed dynamic form type.
Preferably, before determining the array of structures for the dynamic table type for the plurality of required processes, the method further comprises: acquiring sleeve table data to be processed; determining page information of each report page contained in the set of table data; and identifying the report type of the page information of each report page to determine a corresponding plurality of dynamic table types required to be processed.
Preferably, each structured form data in the structured form data set is a string type.
Preferably, each structured form data in the structured form data set and corresponding form data in the form data set are in a bidirectional interaction state.
In a second aspect, an embodiment of the present invention provides a unified processing apparatus for multi-type dynamic table data of a human resource system, where a dynamic extension type of the human resource system includes a horizontal extension type and a vertical extension type, and the processing apparatus includes: a structure body array determining unit configured to determine a structure body array of a dynamic table type for a plurality of required processes; the structure body array comprises a plurality of structure body specifications, and each structure body specification corresponds to a different dynamic form type; a table data acquisition unit for acquiring a table data set having at least one dynamic table type corresponding thereto; and the structuring processing unit is used for carrying out structuring processing on the table data set based on the structural body array so as to obtain a corresponding structured table data set, and the structured table data set is stored in a relational database.
Preferably, the structured table dataset is used for performing association type statistical analysis according to association relations among the datasets.
In a third aspect, an embodiment of the present invention provides an electronic device, including: the system comprises at least one processor and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method described above.
In a fourth aspect, embodiments of the present invention provide a storage medium having stored therein one or more programs including execution instructions that are readable and executable by an electronic device (including, but not limited to, a computer, a server, or a network device, etc.) for performing the steps of the above-described methods of the present invention.
In a fifth aspect, embodiments of the present invention also provide a computer program product comprising a computer program stored on a storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the steps of the above-described method.
Compared with the prior art, the technical scheme has at least the following beneficial effects:
according to the scheme, corresponding structure body arrays are determined according to the dynamic table types required to be processed, so that structure body specifications corresponding to different dynamic table types are integrated, and when an input table data set is obtained, the input table data set is subjected to structuring processing by utilizing the structure body arrays, so that the corresponding structured table data set is obtained. Therefore, unified data acquisition and storage of the multi-type dynamic table data are realized.
The structured form data set obtained by the scheme is stored in a relational database, and is supported to carry out relational statistical analysis according to the association relation among the forms.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 illustrates a flowchart of one example of a unified processing method for multi-type dynamic table data for a human resource system in accordance with an embodiment of the present invention;
FIG. 2 illustrates a flowchart of one example of a unified processing method for multi-type dynamic table data for a human resource system in accordance with an embodiment of the present invention;
FIG. 3 illustrates a flowchart of an example of a unified processing method for multi-type dynamic table data for a human resource system according to an embodiment of the invention;
FIG. 4 shows a block diagram of an example of a unified processing device for multi-type dynamic form data for human resource systems according to an embodiment of the invention;
fig. 5 is a schematic structural diagram of an embodiment of an electronic device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without creative efforts, based on the described embodiments of the present invention fall within the protection scope of the present invention.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. Likewise, the terms "a," "an," or "the" and similar terms do not denote a limitation of quantity, but rather denote the presence of at least one. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
It should be noted that "upper", "lower", "left", "right", "front", "rear", and the like are used in the present invention only to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed accordingly.
In the traditional form acquisition system at present, as data is input at the front end and the data processing process is at the rear end, front-end and rear-end components need to be frequently interacted, so that the performance of equipment is lost, and the occupied bandwidth is caused; in addition, the table rendering speed is low, and when the table data volume is large, the page loading is easy to delay; moreover, only online filling is supported, a calculation formula runs at the back end, the calculation of a table formula cannot be performed under the offline condition, a support function is limited, and the compatibility with an Excel table is low.
In view of this, fig. 1 shows a flowchart of an example of a unified processing method for multi-type dynamic table data of a human resource system according to an embodiment of the present invention. Here, the human resource system includes a plurality of dynamic expansion types such as horizontal expansion and vertical expansion.
The implementation subject of the method embodiment of the invention can be various processors or controllers with processing capability and computing capability, and can be integrated in various software and hardware, and implemented by terminal equipment such as a computer or a mobile phone.
As shown in fig. 1, in step S110, a structure array of dynamic table types for a plurality of required processes is determined. Here, the structure array includes a plurality of structure specifications, and each of the structure specifications corresponds to a different dynamic table type, respectively. In addition, the structure specification may represent a relevant specification or logic code that performs the structuring process of the form data.
In some examples of the embodiments of the present invention, the dynamic table types to be processed by the requirements may be counted, and then, for each dynamic table type, a corresponding structure specification is determined, so as to obtain a corresponding structure array.
In step S120, a table dataset having a correspondence to at least one of the dynamic table types described above is acquired. Illustratively, the user performs an input operation on the terminal to enter a table dataset of a corresponding multiple dynamic table type to be processed.
In some examples of embodiments of the present invention, the entry of the table dataset may be accomplished by way of entering a set of tables.
In step S130, the table data set is structured based on the structure array to obtain a corresponding structured table data set. For each dynamic table type in the table data set, the corresponding structuring specification in the structure body array may be used to perform structuring operation on the table data of the corresponding dynamic table type to obtain a structured table data set.
According to the embodiment of the invention, before the multi-type dynamic table data are recorded, the structural body specifications of each dynamic table type to be recorded are determined in advance and are integrated into the corresponding structural body array, so that the structural body array can be utilized to carry out structural processing on the table data set when the table data set is recorded, and the corresponding structural table data set is obtained. Therefore, independent processing of each type of table is not needed, unified and batched data acquisition and storage of multi-type dynamic table data are realized, and for example, when a plurality of pages or multiple types exist in one set of input tables, structured acquisition and display of multi-page data can be performed.
Therefore, the method is developed by using a pure front-end technology, is free from any third-party component dependence, can run in any Web browser, does not need to interact with a back-end component in the process of inputting data, is quick to input, and does not occupy bandwidth. In addition, the HTML5 Canvas is used for realizing the form drawing, so that the problem of rendering performance bottleneck caused by the traditional DOM splicing is avoided. Furthermore, through pure front-end calculation, the dependence on a back-end component is not needed, excel conventional calculation functions are built in, the functions comprise array functions, dynamic arrays, asynchronous functions and the like, and the functions are supported and are easy to expand.
Fig. 2 is a flowchart showing an example of a unified processing method for multi-type dynamic table data of a human resource system according to an embodiment of the present invention.
As shown in fig. 2, in step S210, a plurality of dynamic table types for which processing is required is determined. Here, in one aspect, the respective plurality of dynamic form types may be determined by way of user active input. On the other hand, the method can also be determined by intelligent analysis operation of the terminal.
In some examples of the embodiments of the present invention, the set of table data to be processed may be acquired, page information of each report page included in the set of table data may be determined, and report types of the page information of each report page may be identified, so as to determine a plurality of corresponding dynamic table types to be processed. Therefore, after the user inputs the to-be-processed set table data, the system can automatically identify the page information of each report page in the set table and match the corresponding report type, and intelligent analysis of the required target dynamic table type is realized.
In step S220, for each dynamic table type required to be processed, a table attribute corresponding to the dynamic table type is obtained, and a corresponding structure specification is determined according to the table attribute. Here, the table attributes may include table row attributes, table column attributes, column-row alias attributes, and so forth.
Illustratively, the table attributes also include a dynamic table type, i.e., a dynamic table or a fixed table, which does not allow the user to add rows and columns, while a dynamic table allows the user to add rows or columns (containing only column headers or row headers). In addition, the row and column information also includes a column alias and a row alias, and the dynamically added row table may not include a row alias, and the dynamically added column may not include a column alias. Through the structure body specification, the description of the table attribute and the row and column information of the corresponding dynamic table type can be realized, so that the sequence of the structure body array is consistent with the sequence of the described page.
In step S230, a structure array is determined according to the structure specifications corresponding to the dynamic table types required to be processed. Thus, intelligent parsing and sorting of the structural body specifications of the multiple dynamic table types to be input are realized.
In step S240, a table dataset having a corresponding at least one dynamic table type is acquired.
In step S250, the table data set is structured based on the structure array to obtain a corresponding structured table data set.
In step S260, first structured form data corresponding to each of the dynamic form types required to be processed is extracted from the structured form data set. Thus, collection of structured form data under each of the different dynamic form types is achieved.
In step S270, data stitching processing is performed on the first structured table data of each dynamic table type, so as to obtain corresponding stitched data of each type. Thus, the data assembly and splicing of the structured data of each dynamic table type are achieved, for example, the splicing operation of corresponding different times to the table data of the same type is achieved.
In step S280, according to the dynamic table type of the type splicing data, the corresponding table rendering configuration is called to perform the table rendering operation. Specifically, corresponding table rendering configurations are respectively prestored in the system aiming at different dynamic table types, so that personalized table rendering effects aiming at different dynamic table types are realized.
In some examples of embodiments of the invention, each structured form data in the structured form data set is in a bi-directional interaction with the corresponding form data in the form data set, that is, the structured volume data is changed simultaneously when the user modifies the page data, and vice versa.
Fig. 3 is a flowchart showing an example of a unified processing method for multi-type dynamic table data of a human resource system according to an embodiment of the present invention.
As shown in fig. 3, the unified processing method of the multi-type dynamic form data for the human resource system includes a data acquisition stage 310, a data processing service stage 320 and a data parsing engine processing stage 330 of the front-end form page.
In the data acquisition stage 310, the following operations are specifically included:
in step S311, the user enters a form page.
In step S312, a structure corresponding to the current form page is constructed, and the structure and the current page are bound in two directions, so as to realize a two-way interaction state. In some examples of embodiments of the present invention, each structured form data in the structured form data set is a string type.
Then, the system can also simulate the construction of the residual number of the constructed structures according to the required number of the set table pages, and all the structure data and the table pages are in a bidirectional interaction state.
Further, a structure array is constructed, and each structure in the structure array describes the type and row and column information of the corresponding table. Specifically, the types of the table include: fixed forms and dynamic forms, the fixed forms not allowing users to add rows and columns newly; dynamic tables allow a user to add new rows or columns (containing only column headers or row headers). In addition, the rank information includes: column aliases and row aliases, the dynamically added row may not contain row aliases, and the dynamically added column may not contain column aliases. The sequence of the array should be consistent with the sequence of the pages described.
In the data processing service phase 320, the following operations are specifically included:
in step S321, the structure array is traversed. Illustratively, when a user submits data, all constructed constructs are integrated into a string array, which is ordered according to the size of the page sequence to which the constructs are bound.
In step S322, the structural volume data is parsed.
In the embodiment of the invention, when the table data is submitted, the structure body arrays can be submitted together, so that the data processing end or the data analysis engine can finish the data structuring processing by utilizing the structuring description information of the table data.
In the data parsing engine processing stage 330, the following operations are specifically included:
in step S331, the dynamic table type is matched.
In step S332, the unit data is traversed.
After the data processing end receives the data submitted by the user, traversing the structure array, analyzing each character string according to the submitted form description information, and converting the character string into the structured data for persistent storage. In addition, each row of data should contain an identification field to record the row alias to which the row of data belongs when stored.
In step S333, the data is checked and formatted. Here, when the user reenters the form page, a data acquisition request is sent to the data processing end, and the request should include the described structure array.
In step S334, stitching is performed for the data write statement. Specifically, after the data processing end obtains data from the persistent storage, the data required by each form is sequentially taken out according to the described structure array, then data assembly and splicing are carried out according to the type of each form, and the assembled and spliced data form a character string array which is returned to the terminal page. In this way, after the terminal page receives the data returned by the data processing end, the data is rendered and bound to the form.
According to the embodiment of the invention, when a user fills the multi-page and different types of reports, the data of each page is automatically split, the report type of each page is automatically matched, the page data is subjected to structured dump according to the report type, and unified data acquisition and storage of the multi-page and multi-type dynamic table are realized. In addition, when the user enters the page next time, the structured data are assembled and spliced to be returned to the report page for display, so that the collected data are structurally stored, and the data are collected and analyzed in the later period conveniently.
Fig. 4 is a block diagram showing an example of a unified processing apparatus for multi-type dynamic table data of a human resource system according to an embodiment of the present invention.
As shown in fig. 4, the unified processing apparatus 400 of multi-type dynamic table data for a human resource system includes a structure body array determining unit 410, a table data acquiring unit 420, and a structuring processing unit 430.
Based on the structure array determining unit 410, a structure array of a dynamic table type for a plurality of required processes is determined; the structure array includes a plurality of structure specifications, and each structure specification corresponds to a different dynamic table type.
Based on the table data acquisition unit 420, a table data set having a correspondence to at least one of the dynamic table types is acquired.
Based on the structuring processing unit 430, the table dataset is structured according to the structurality array, so as to obtain a corresponding structured table dataset.
For more details regarding the unified processing device for multi-type dynamic table data for a human resource system according to the embodiment of the present invention, reference may be made to the above description in connection with the embodiment of the unified processing method for multi-type dynamic table data for a human resource system, and the same or similar technical effects may be achieved.
It should be noted that, for simplicity of description, the foregoing method embodiments are all illustrated as a series of acts combined, but it should be understood and appreciated by those skilled in the art that the present invention is not limited by the order of acts, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention. In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In some embodiments, embodiments of the present invention provide a non-transitory computer readable storage medium having stored therein one or more programs including execution instructions that can be read and executed by an electronic device (including, but not limited to, a computer, a server, or a network device, etc.) for performing the above-described unified processing method for multiple types of dynamic table data for a human resource system according to the present invention.
In some embodiments, embodiments of the present invention also provide a computer program product comprising a computer program stored on a non-volatile computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described unified processing method for multiple types of dynamic table data for a human resource system.
In some embodiments, the present invention further provides an electronic device, including: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a unified processing method for multiple types of dynamic form data of a human resource system.
Fig. 5 is a schematic hardware structure diagram of an electronic device for executing a unified processing method for multiple types of dynamic table data of a human resource system according to another embodiment of the present invention, where, as shown in fig. 5, the device includes:
one or more processors 510 and a memory 520, one processor 510 being illustrated in fig. 5.
The apparatus for performing the unified processing method of the multi-type dynamic form data for the human resource system may further include: an input device 530 and an output device 540.
The processor 510, memory 520, input device 530, and output device 540 may be connected by a bus or other means, for example in fig. 5.
The memory 520 is used as a non-volatile computer readable storage medium, and can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as program instructions/modules corresponding to the unified processing method for multiple types of dynamic table data of a human resource system in the embodiment of the invention. The processor 510 executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory 520, that is, implements the unified processing method for multi-type dynamic table data of the human resource system according to the above method embodiment.
Memory 520 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the voice interaction device, etc. In addition, memory 520 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 520 optionally includes memory located remotely from processor 510, which may be connected to the voice interaction device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 530 may receive input numeric or character information and generate signals related to user settings and function control of the voice interaction device. The output 540 may include a display device such as a display screen.
The one or more modules are stored in the memory 520 that, when executed by the one or more processors 510, perform the unified processing method of multi-type dynamic table data in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
The electronic device of the embodiments of the present invention exists in a variety of forms including, but not limited to:
(1) Mobile communication devices, which are characterized by mobile communication functionality and are aimed at providing voice, data communication. Such terminals include smart phones, multimedia phones, functional phones, low-end phones, and the like.
(2) Ultra mobile personal computer equipment, which belongs to the category of personal computers, has the functions of calculation and processing and generally has the characteristic of mobile internet surfing. Such terminals include PDA, MID, and UMPC devices, etc.
(3) Portable entertainment devices such devices can display and play multimedia content. The device comprises an audio player, a video player, a palm game machine, an electronic book, an intelligent toy and a portable vehicle navigation device.
(4) Other on-board electronic devices with data interaction functions, such as on-board devices mounted on vehicles.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the related art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A unified processing method for multi-type dynamic table data of a human resource system, wherein the dynamic expansion type of the human resource system comprises a horizontal expansion type and a vertical expansion type, and the processing method comprises the following steps:
determining a structure array of dynamic table types for a plurality of required processes; the structure body array comprises a plurality of structure body specifications, and each structure body specification corresponds to a different dynamic form type;
acquiring a table dataset having a correspondence to at least one of the dynamic table types;
and carrying out structuring treatment on the table data set based on the structural body array so as to obtain a corresponding structuring table data set.
2. The method of claim 1, wherein after structuring the dynamic table dataset based on the array of structures to obtain a corresponding structured table dataset, the method further comprises:
extracting first structured form data corresponding to each dynamic form type required to be processed from the structured form data set;
and respectively carrying out data splicing processing on the first structured form data of each dynamic form type to obtain corresponding spliced data of each type.
3. The method of claim 2, wherein after performing the data stitching process separately for the first structured form data of each dynamic form type, the method further comprises:
and according to the table dynamic table type of the type splicing data, calling corresponding table rendering configuration to perform table rendering operation.
4. The method of claim 1, wherein the determining a structure array of dynamic table types for a plurality of required processes comprises:
aiming at each dynamic form type required to be processed, acquiring a form attribute corresponding to the dynamic form type, and determining a corresponding structure body specification according to the form attribute;
and determining a structure array according to the structure specification corresponding to each required processed dynamic form type.
5. The method of claim 1, wherein prior to determining the array of structures for the dynamic table type for the plurality of required processes, the method further comprises:
acquiring sleeve table data to be processed;
determining page information of each report page contained in the set of table data;
and identifying the report type of the page information of each report page to determine a corresponding plurality of dynamic table types required to be processed.
6. The method of claim 1, wherein each structured form data in the structured form data set is a string type.
7. The method of any of claims 1-6, wherein each structured form data in the structured form data set is in a bi-directional interaction state with corresponding form data in the form data set.
8. A unified processing device for multiple types of dynamic table data of a human resource system, wherein the dynamic expansion types of the human resource system include a horizontal expansion type and a vertical expansion type, the processing device comprising:
a structure body array determining unit configured to determine a structure body array of a dynamic table type for a plurality of required processes; the structure body array comprises a plurality of structure body specifications, and each structure body specification corresponds to a different dynamic form type;
a table data acquisition unit for acquiring a table data set having at least one dynamic table type corresponding thereto;
and the structuring processing unit is used for carrying out structuring processing on the table data set based on the structural body array so as to obtain a corresponding structured table data set, and the structured table data set is stored in a relational database.
9. The apparatus of claim 8, wherein the structured form dataset is configured to perform associative statistical analysis based on associative relationships between datasets.
10. An electronic device, comprising:
at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of any one of claims 1-7.
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