A method, system, and storage medium for visualizing data processing

Abstract

The application discloses a kind of visual data processing method, system and storage medium, by constructing first connection identification between multiple characteristic fields of dataset, such as first connection identification and the second connection identification between the two data sets that exist intersects, then the accompanying attribute information of first connection identification and second connection identification is respectively entered first rule selection logic, such as first connection identification and the second connection identification between the two data sets that exist does not intersect, then the accompanying attribute information of connection identification is respectively entered second rule selection logic;According to the parameter value screening rule, the parameter value of the characteristic field of the two ends of connection identification is screened and corresponding field parameter value is selected as the screening value group of the connection identification, and according to the rule selection logic in the accompanying attribute information of each connection identification, each screening value group is adjusted to obtain multiple target field parameter value and is entered into characteristic field screening library, effectively improve the analysis screening efficiency of field data in each data set.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of information technology, in particular to a visual data processing method, system and storage medium. BACKGROUND

[0002] In the conventional data table, data set and other storage units for storing field data information, the association relationship between the fields of each storage unit is often represented by a connection line, and the relevant fields in the two storage units are connected by the connection line. The association relationship represented by the connection line can also be set in advance, so that the analyst can intuitively see which two fields in the two storage units are associated. However, when there are multiple pairs of associated fields between the two storage units, multiple connection lines will exist between the storage units. The relationship between these connection lines needs to be understood by separately reading the setting information, and cannot be directly obtained by their arrangement form. Therefore, when there are many connection lines, the relationship between the storage units will be disordered, and the filtering rules of the associated fields represented by each connection line cannot be quickly obtained, which reduces the data analysis efficiency. SUMMARY

[0003] The present application provides a visual data processing method, which comprises the following steps:

[0004] S1, a first connection line identifier is constructed between a plurality of characteristic fields respectively located in two data sets, and a parameter value filtering rule is recorded in the accompanying attribute information of the first connection line identifier. The parameter value filtering rule is used to filter the characteristic field parameter values at both ends of the connection line identifier.

[0005] S2, if the first connection line identifier constructed intersects with a second connection line identifier already existing between the two data sets, a first rule selection logic is recorded in the accompanying attribute information of the first connection line identifier and the second connection line identifier, respectively. The rule selection logic is used to set the application condition of the parameter value filtering rule of the connection line identifier.

[0006] S3, if the first connection line identifier constructed does not intersect with the second connection line identifier already existing between the two data sets, a second rule selection logic is recorded in the accompanying attribute information of the first connection line identifier and the second connection line identifier, respectively.

[0007] S4, the parameter values of the characteristic fields at both ends of the connection line identifier are filtered according to the parameter value filtering rule, and the corresponding field parameter values are selected as the filtering value group of the connection line identifier. The rule selection logic in the accompanying attribute information of each connection line identifier is used to adjust and obtain a plurality of target field parameter values. Other field parameter values corresponding to the target field parameter values are obtained in the respective data sets, and the characteristic field filtering library is recorded.

[0008] Preferably, the step S4 comprises:

[0009] According to the parameter value screening rule, the parameter values of the record fields at both ends of the connection identifier are compared and selected, and the field parameter values meeting the requirements are saved as the screening parameter value corresponding to the connection identifier and entered into the intermediate process screening library;

[0010] In the intermediate process screening library, the screening parameter values corresponding to the connection identifiers using the first rule selection logic are entered into the target field screening library, and the screening parameter values corresponding to the connection identifiers using the second rule selection logic belonging to the same discrete variable group are entered into the target field screening library;

[0011] In each data set, the other field parameter values corresponding to the target field parameter values are obtained and entered into the characteristic field screening library.

[0012] Preferably, the first rule selection logic is configured to take the corresponding characteristic field parameter values meeting the numerical screening rules of any one of the intersecting connection identifiers as the screening value group of the set of intersecting connection identifiers.

[0013] Preferably, the second rule selection logic is configured to take the corresponding characteristic field parameter values of any one of the connection identifiers without intersecting features as the screening value group of the connection identifier.

[0014] Preferably, the visual data processing method further comprises: if the constructed first connection identifier intersects with the second connection identifier already existing between the two data sets, assigning the two characteristic fields at both ends of the first connection identifier and the two characteristic fields at both ends of the second connection identifier to a first color feature; and assigning the characteristic fields at both ends of other connection identifiers without intersecting forms to a second color feature.

[0015] Preferably, the visual data processing method further comprises: controlling the up and down movement of the end characteristic fields of the connection identifier in the data set to change the intersection with other connection identifiers; after the intersection form of the connection identifier changes and the updated position of the end characteristic field is confirmed, updating the related attribute information of the connection identifier and adjusting the corresponding color feature of the characteristic field.

[0016] The application further discloses a visual data processing system, which comprises: a connection identifier construction module, which is used for constructing a first connection identifier between a plurality of characteristic fields respectively located in two data sets and recording a parameter value screening rule in the accompanying attribute information of the first connection identifier, the parameter value screening rule being used for screening characteristic field parameter values at two ends of the connection identifier meeting requirements; a first rule setting module, which is used for recording a first rule selection logic in the accompanying attribute information of the first connection identifier and a second connection identifier existing between the two data sets when the first connection identifier and the second connection identifier intersect; a second rule setting module, which is used for recording a second rule selection logic in the accompanying attribute information of the first connection identifier and the second connection identifier when the first connection identifier and the second connection identifier do not intersect; and a screening module, which is used for screening parameter values of the characteristic fields at two ends of the connection identifier according to the parameter value screening rule, selecting corresponding field parameter values as a screening value group of the connection identifier, adjusting the screening value group according to the rule selection logic in the accompanying attribute information of each connection identifier to obtain a plurality of target field parameter values, obtaining other field parameter values corresponding to the target field parameter values in the respective data sets, and recording the characteristic field screening library.

[0017] Preferably, the screening module comprises: a comparison module, which is used for comparing and selecting parameter values of record fields at two ends of the connection identifier according to the parameter value screening rule, saving the characteristic field parameter values meeting requirements as screening parameter values corresponding to the connection identifier and recording the intermediate process screening library; a recording module, which is used for recording the screening parameter values corresponding to the connection identifier adopting the first rule selection logic in the intermediate process screening library into the target field screening library, and recording the screening parameter values corresponding to the connection identifier adopting the second rule selection logic belonging to the same discrete variable group into the target field screening library; and a supplement module, which is used for obtaining other field parameter values corresponding to the target field parameter values in the respective data sets and recording the characteristic field screening library.

[0018] The application further discloses a visual data processing device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of any of the above methods when executing the computer program.

[0019] The application further discloses a computer readable storage medium, which stores a computer program, and the computer program implements the steps of any of the above methods when executed by a processor.

[0020] The visual data processing method, system and storage medium disclosed by the application can directly adjust and configure the parameter value filtering rules of the attribute information of the connection marks by the intersection between the connection marks, and then confirm and quickly adjust and optimize the parameter value filtering rules of the related fields by adjusting the connection position between the data sets on the view, thereby effectively improving the analysis and filtering efficiency of the field data in the data sets.

[0021] Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and / or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0022] The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate the present application and, together with the description, further serve to explain the principles of the application and to enable a person skilled in the relevant art(s) to make and use the application.

[0023] Figure 1 The flowchart of the visual data processing method disclosed by the present embodiment.

[0024] Figure 2 The specific flowchart of step S4 disclosed by the present embodiment. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the described embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without any inventive effort fall within the protection scope of the present application.

[0026] As shown in the accompanying Figure 1 The present embodiment discloses a visual data processing method, which can include the following contents.

[0027] Step S1: constructing a first connection mark between a plurality of characteristic fields respectively located in two data sets, and recording a parameter value filtering rule in the attribute information of the first connection mark, wherein the parameter value filtering rule is used to filter the characteristic field parameter values at both ends of the connection mark that meet the requirements. Wherein a plurality of discrete variable groups are stored in the data set, and each discrete variable group is composed of a field parameter value associated with each characteristic field.

[0028] Step S2, if the constructed first link identifier intersects with the second link identifier between the two existed data sets, the attribute information of the first link identifier and the second link identifier is respectively recorded in the first rule selection logic, wherein the rule selection logic is used to set the application condition of the parameter value screening rule of the link identifier.

[0029] The first rule selection logic is configured to take the corresponding characteristic field parameter value of the numerical value screening rule of any one of the intersected link identifiers as the screening value group of the link identifier.

[0030] Step S3, if the constructed first link identifier does not intersect with the second link identifier between the two existed data sets, the attribute information of the first link identifier and the second link identifier is respectively recorded in the second rule selection logic.

[0031] Of course, in another embodiment, the second rule selection logic can also be configured to take the corresponding characteristic field parameter value of the judgment selection rule of any one of the link identifiers without the intersected characteristic as the screening value group of the link identifier.

[0032] Step S4, the parameter values of the characteristic fields at both ends of the link identifier are screened according to the parameter value screening rule, and the corresponding field parameter value is selected as the screening value group of the link identifier, and the target field parameter values are obtained by adjusting the screening value groups according to the rule selection logic in the attribute information of each link identifier, the other field parameter values corresponding to the target field parameter values are obtained in the respective data sets, and the characteristic field screening library is recorded.

[0033] In this embodiment, as shown in the accompanying Figure 2 , the step S4 can also include the following contents.

[0034] Step S41, the parameter values of the record fields at both ends of the link identifier are compared and selected according to the parameter value screening rule, and the field parameter values meeting the requirements are saved as the screening parameter values corresponding to the link identifier and recorded in the intermediate process screening library.

[0035] Step S42, the screening parameter values corresponding to the link identifier using the first rule selection logic are recorded in the target field screening library, and the screening parameter values corresponding to the link identifier using the second rule selection logic belonging to the same discrete variable group are recorded in the target field screening library.

[0036] Step S43, the other field parameter values corresponding to the target field parameter values are obtained in the respective data sets, and the characteristic field screening library is recorded.

[0037] In this embodiment, the selection of the parameter value filtering rule of each connection line is determined by the arrangement relationship of the multiple connection lines between the two connected data sets. If the multiple connection lines between the fields of the two data sets all constitute intersections, as long as one of the parameter value filtering rules of the connection lines is met, the filtering value group of the record field can be entered into the record field filter library, that is, the first rule selection logic is to perform "or" logical processing on the parameter value filtering rules of the connection lines, and as long as one of the parameter value filtering rules is met, the target parameter value is selected.

[0038] If the fields between the two data sets do not intersect, the corresponding discrete variable group of all the parameter value filtering rules of the connection lines must be met to be the target filtering object. That is, the second rule selection logic is to perform "and" logical processing on the parameter value filtering rules of the connection lines, and only the field parameter values in the discrete variable group of the fields whose parameter values meet all the parameter value filtering rules can be selected as the target parameter value.

[0039] In this embodiment, when there are multiple connection line identifiers in the two connected data sets, the comparison order between the connection lines or the filtering conditions between the judgment selection rules of the connection lines can be considered. That is, whether the parameter value group entered into the record field filter library must meet the judgment selection rules of all the connection lines or only one of the judgment selection rules is met. That is, the judgment selection rules of the connection lines are "and" or "or". If the judgment selection rules of the connection lines are "or", that is, the relationship is alternative, the priority level in the attribute information of the connection line can be considered to preferentially filter the judgment selection rule of the connection line with a higher priority level, and the record field parameter value meeting the rule is entered into the record field filter library. If the two connection lines have the same priority level, the corresponding record field parameter value is entered into the record field filter library only when the judgment selection rules of the two connection lines are met. Specifically, the following contents can be included.

[0040] The priority level is set in the attribute information of the connection line identifier, and the record field parameters at both ends of the connection line with the same priority level are filtered according to the judgment selection rule, and the record field parameter values meeting the judgment selection rules of the multiple connection lines with the same priority level are entered into the record field filter library.

[0041] For connection lines with different priority levels, the record field parameter values at both ends of the connection line are filtered and selected in sequence according to the judgment selection rule, and the field parameter values meeting the requirements are supplemented into the record field filter library as the filtering values.

[0042] Further, for the connections with different priority levels, if one end of multiple connections is connected with the same record field in the same field data set, the record field parameter values that meet the judgment selection rules of the multiple connections will be recorded in the record field filter library at the same time. Specifically, if two connections are connected to two record fields of another data set on one record field of one data set, regardless of whether the priority levels recorded in the attribute information of the two connections are the same, they are treated as the same priority level, that is, only the record field parameter values that meet the judgment selection rules of the multiple connections are recorded in the record field filter library.

[0043] If the attribute information of a connection identifier does not record the judgment priority level, it is assigned the highest priority level to participate in the sorting processing of the connection identifier filter, and the parameter values of the record fields at both ends of the connection identifier are compared and selected according to the judgment selection rules of the connection identifier, and the field parameter values that meet the requirements are saved as filter values and recorded in the record field filter library. Finally, the supplementary record fields in the two field data sets at both ends of the connection identifier are selected, the corresponding parameter values of the supplementary record fields corresponding to the filter values are obtained, and the record field filter library is supplemented to form a combined field data set.

[0044] In this embodiment, the connection identifiers in different states can also be color marked, and the selection relationship between the fields of the connection identifiers can be visually judged through the field colors, thereby effectively improving the configuration and adjustment efficiency of the field data in the data set. Specifically, if the first connection identifier intersects with the second connection identifier that already exists between the two data sets, the two feature fields at both ends of the first connection identifier and the two feature fields at both ends of the second connection identifier are assigned the first color feature; and the feature fields at both ends of other connection identifiers that do not exist in the intersection form are assigned the second color feature.

[0045] By moving the position of a specific field in the data set, the intersection between the connection identifier connected to the field and other connection identifiers can be changed. At the same time, the system real-time acquires the feature fields at both ends of the connection identifier whose intersection condition changes after monitoring the change of the intersection condition of the connection identifier, and adjusts the color feature of the feature fields. Specifically, the control connection identifier follows the end feature field to move up and down in the data set to change the intersection with other connection identifiers; after the intersection form of the connection identifier changes and the updated position of the end feature field is confirmed, the attribute information of the related connection identifier is updated and the corresponding color feature of the feature field is adjusted.

[0046] The visual data processing method discloses a plurality of connection identifiers connecting the required filtering fields in two data sets, adjusts and configures the parameter value filtering rules of the attribute information of the connection identifiers according to the intersection of the connection identifiers, and then adjusts and optimizes the parameter value filtering rules of the related fields by adjusting the connection position between the data sets in the view, thereby improving the analysis and filtering efficiency of the field data in the data sets.

[0047] In another embodiment, a visual data processing system is also disclosed, which comprises: a connection identifier construction module, configured to construct a first connection identifier between a plurality of characteristic fields respectively located in two data sets, and record a parameter value filtering rule in the attribute information of the first connection identifier, the parameter value filtering rule being used to filter the parameter values of the characteristic fields at both ends of the connection identifier that meet the requirements; a first rule setting module, configured to record a first rule selection logic in the attribute information of the first connection identifier and a second connection identifier respectively when the first connection identifier and the second connection identifier intersect; a second rule setting module, configured to record a second rule selection logic in the attribute information of the first connection identifier and the second connection identifier when the first connection identifier and the second connection identifier do not intersect; and a filtering module, configured to filter the parameter values of the characteristic fields at both ends of the connection identifier according to the parameter value filtering rule, select the corresponding field parameter values as the filtering value group of the connection identifier, and adjust the filtering value group according to the rule selection logic in the attribute information of the connection identifier to obtain a plurality of target field parameter values, obtain other field parameter values corresponding to the target field parameter values in the respective data sets, and record the characteristic field filtering library.

[0048] In the embodiment, the filtering module can comprise: a comparison module, configured to compare and select the parameter values of the record fields at both ends of the connection identifier according to the parameter value filtering rule, save the field parameter values meeting the requirements as the filtering parameter values corresponding to the connection identifier, and record the intermediate process filtering library; an input module, configured to record the filtering parameter values corresponding to the connection identifier adopting the first rule selection logic in the target field filtering library, and record the filtering parameter values corresponding to the connection identifier adopting the second rule selection logic in the target field filtering library; and a supplement module, configured to obtain other field parameter values corresponding to the target field parameter values in the respective data sets, and record the characteristic field filtering library.

[0049] In the embodiment, the first rule selection logic is configured to select the corresponding feature field parameter value of the numerical filtering rule that matches any of the intersected multiple link identifiers as the filtering value set of the set of intersected link identifiers. The second rule selection logic is configured to select the corresponding feature field parameter value of the judgment selection rule of any of the multiple link identifiers that does not have the intersected feature as the filtering value set of the link identifier.

[0050] It should be noted that the embodiments in the present specification are described in progressive manner, and each embodiment focuses on the difference from other embodiments, and the same and similar parts among the embodiments can be mutually referred to. For the visualization data processing system disclosed by the embodiments, since it corresponds to the visualization data processing method disclosed by the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0051] In some other embodiments, a visualization data processing apparatus is also provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements each step of the visualization data processing method described in the above embodiments when executing the computer program.

[0052] The visualization data processing apparatus can include but is not limited to a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the visualization data processing apparatus, and does not constitute a limitation on the visualization data processing apparatus, and can include more or less components than the diagram, or combine certain components, or different components, for example, the visualization data processing apparatus can also include an input and output device, a network access device, a bus, etc.

[0053] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The processor is the control center of the visualization data processing apparatus, and connects all parts of the visualization data processing apparatus through various interfaces and lines.

[0054] The memory can be used to store the computer program and / or modules, and the processor realizes various functions of the visual data processing device by running or executing the computer program and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required by a function, and the like. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0055] The visual data processing device, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the processor executes the computer program, the steps of each of the above-mentioned visual data processing methods can be realized. The computer program includes computer program code, which can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the contents included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0056] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

[0057] In summary, the above is only the preferred embodiment of the present application, any equivalent changes and modifications made in accordance with the scope of the present application patent application should be covered by the present application patent.

Claims

1. A method of visualizing data processing, characterized by, The method comprises the following steps: S1, constructing a first connection identifier between a plurality of feature fields respectively located in two data sets, and recording a parameter value screening rule in the attribute information of the first connection identifier, wherein the parameter value screening rule is used for screening the feature field parameter values at both ends of the connection identifier; S2, if the first connection identifier constructed intersects with a second connection identifier existing between the two data sets, recording a first rule selection logic in the attribute information of the first connection identifier and the second connection identifier, respectively, wherein the rule selection logic is used for setting the application condition of the parameter value screening rule of the connection identifier; S3, if the first connection identifier constructed does not intersect with the second connection identifier existing between the two data sets, recording a second rule selection logic in the attribute information of the first connection identifier and the second connection identifier, respectively; S4, screening the parameter values of the feature fields at both ends of the connection identifier according to the parameter value screening rule, and selecting the corresponding field parameter values as the screening value group of the connection identifier, and adjusting the target field parameter values according to the rule selection logic in the attribute information of each connection identifier, and obtaining other field parameter values corresponding to the target field parameter values in the respective data sets, and recording the feature field screening library.

2. The method of visualizing data according to claim 1, wherein, The step S4 comprises: comparing and selecting the parameter values of the record fields at both ends of the connection identifier according to the parameter value screening rule, saving the field parameter values meeting the requirements as the screening parameter values corresponding to the connection identifier and recording in the intermediate process screening library; selecting the screening parameter values corresponding to the connection identifier adopting the first rule selection logic in the intermediate process screening library and recording in the target field screening library, and recording the screening parameter values corresponding to the connection identifier adopting the second rule selection logic belonging to the same discrete variable group in the target field screening library; obtaining other field parameter values corresponding to the target field parameter values in the respective data sets, and recording the feature field screening library.

3. The visual data processing method according to claim 2, characterized in that: the first rule selection logic is configured to take the corresponding feature field parameter values meeting the numerical value screening rule of any one of the intersected connection identifiers as the screening value group of the intersected connection identifiers.

4. The method of visualizing data of claim 2, wherein: the second rule selection logic is configured to take the corresponding feature field parameter values of the judgment selection rule of any one of the connection identifiers without intersecting features as the screening value group of the connection identifier.

5. The method of visualizing data of claim 3, wherein, Further comprising: if the first connection identifier constructed intersects with the second connection identifier existing between the two data sets, assigning the two feature fields at both ends of the first connection identifier and the two feature fields at both ends of the second connection identifier to a first color feature; and assigning the feature fields at both ends of other connection identifiers without intersecting forms to a second color feature.

6. The method of visualizing data according to claim 5, wherein, Further comprising: controlling the connection identifier to change the intersection with other connection identifiers when the end feature field moves up and down in the data set; after the intersection form of the connection identifier changes and the updated position of the end feature field is received, updating the attribute information of the related connection identifier and adjusting the corresponding color feature of the feature field.

7. A visualizing data processing system, characterized by comprising: The connection identifier construction module is configured to construct a first connection identifier between a plurality of characteristic fields respectively located in two data sets, and to record a parameter value screening rule in the attribute information of the first connection identifier, the parameter value screening rule being used to screen the characteristic field parameter values at both ends of the connection identifier; The first rule setting module is configured to record a first rule selection logic in the attribute information of the first connection identifier and a second connection identifier respectively when the first connection identifier and the second connection identifier intersect; The second rule setting module is configured to record a second rule selection logic in the attribute information of the first connection identifier and the second connection identifier respectively when the first connection identifier and the second connection identifier do not intersect; The screening module is configured to screen the parameter values of the characteristic fields at both ends of the connection identifier according to the parameter value screening rule, to select corresponding field parameter values as a screening value group of the connection identifier, and to adjust the screening value group according to the rule selection logic in the attribute information of the connection identifier to obtain a plurality of target field parameter values, and to obtain other field parameter values corresponding to the target field parameter values in the respective data sets, The characteristic field screening library is recorded.

8. The visual data processing system of claim 7, wherein, The screening module comprises: The comparison module is configured to compare and select the parameter values of the record fields at both ends of the connection identifier according to the parameter value screening rule, to save the characteristic field parameter values meeting the requirements as screening parameter values of the connection identifier, and to record the screening parameter values in an intermediate process screening library; The recording module is configured to record the screening parameter values of the connection identifier using the first rule selection logic in the target field screening library, and to record the screening parameter values of the connection identifier using the second rule selection logic in the target field screening library; The supplement module is configured to obtain other field parameter values corresponding to the target field parameter values in the respective data sets, and to record the characteristic field screening library.

9. A visualizing data processing apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: The processor executes the computer program to implement the steps of the method of any one of claims 1-6.

10. A computer-readable storage medium, the computer-readable storage medium storing a computer program, characterized in that: The computer program is executed by the processor to implement the steps of the method of any one of claims 1-6.

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