CN115494989B - Analysis node generation method and device, electronic equipment and storage medium - Google Patents
Analysis node generation method and device, electronic equipment and storage medium Download PDFInfo
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- CN115494989B CN115494989B CN202211439156.0A CN202211439156A CN115494989B CN 115494989 B CN115494989 B CN 115494989B CN 202211439156 A CN202211439156 A CN 202211439156A CN 115494989 B CN115494989 B CN 115494989B
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Abstract
The embodiment of the application provides an analysis node generation method and device, electronic equipment and a storage medium, and relates to the field of data analysis. Receiving an analysis node generation instruction input by a user; the analysis node generation instruction comprises analysis parameters and analysis requirements; determining target analysis operation to be performed according to the pre-stored analysis operation characteristics and analysis requirements; and generating a corresponding target analysis node according to the analysis parameters and the target analysis operation. By the method, specific analysis operation can be determined directly according to the analysis requirement input by the user, so that the corresponding target analysis node is directly generated, the user does not need to determine in advance what analysis operation should be executed and what the sequence among the analysis operations should be according to the analysis result desired to be obtained, the logic thinking ability and data processing knowledge of the user are not required to be high, and the method is beneficial to the universal application of different users.
Description
Technical Field
The present application relates to the field of data analysis, and in particular, to an analysis node generation method and apparatus, an electronic device, and a storage medium.
Background
At present, data analysis tools are widely used in life and work, when a user performs data analysis, it is often necessary to determine what kind of analysis operation should be performed and what sequence among the analysis operations is according to an analysis result to be obtained in advance, and then the user gradually generates analysis nodes according to the analysis operations to be performed to perform the data analysis operation.
Disclosure of Invention
In view of the above, an object of the present application is to provide an analysis node generation method, an analysis node generation apparatus, an electronic device, and a storage medium, so as to solve a problem that a data analysis manner in the prior art is not favorable for general applicability of a user.
In order to achieve the above object, the embodiments of the present application adopt the following technical solutions:
in a first aspect, the present application provides an analysis node generation method, including:
receiving an analysis node generation instruction input by a user; the analysis node generation instruction comprises analysis parameters and analysis requirements;
determining target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement;
and generating a corresponding target analysis node according to the analysis parameters and the target analysis operation.
In an optional embodiment, the analysis operation feature includes an operator corresponding to each single analysis operation, and the analysis requirement includes an analysis requirement formula; the determining of the target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement comprises:
analyzing the analysis requirement formula according to a preset analysis language to obtain an operator combination corresponding to the analysis requirement formula; the operator combination comprises operators arranged according to an analysis order;
and matching the operators contained in the operator combination with the operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
In an optional embodiment, the analysis operation feature includes at least one combination operator and an operator corresponding to each single analysis operation, and the analysis requirement includes a target combination operator; the determining of the target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement comprises:
determining a corresponding target combined operator according to the target combined operator name and the analysis operation characteristics;
and matching the target combination operator with operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
In an alternative embodiment, the method further comprises:
responding to the storage operation of the user, and determining a target operator corresponding to each analysis node selected by the user; the target operator is an operator corresponding to the analysis operation in each analysis node;
and combining the target operators according to the arrangement sequence of each analysis node to obtain a combined operator and storing the combined operator.
In an alternative embodiment, the analysis operation feature includes at least one combined analysis operation, and each combined analysis operation is composed of a plurality of single analysis operations, and the analysis requirement includes an operation name; the determining of the target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement comprises:
and determining target combination analysis operation corresponding to the operation name in the analysis requirement from the pre-stored analysis operation characteristics, and determining target single analysis operation contained in the target combination analysis operation as the target analysis operation.
In an optional embodiment, the analyzing parameters include a field to be analyzed and configuration parameters, and the generating a corresponding target analysis node according to the analyzing parameters and the target analysis operation includes:
performing parameter configuration on the target analysis operation according to the configuration parameters;
and analyzing the field to be analyzed by completing the target analysis operation of parameter configuration, and generating a corresponding target analysis node.
In an optional embodiment, the analyzing the field to be analyzed and generating a corresponding target analysis node by completing a target analysis operation of parameter configuration includes:
under the condition that the number of the target analysis operations is multiple, analyzing the field to be analyzed through multiple target analysis operations for completing parameter configuration to obtain an analysis result;
generating a corresponding combined analysis node according to the target analysis operations and the analysis result; the combined analysis node comprises a plurality of target sub-analysis nodes, and each target sub-analysis node corresponds to one target analysis operation.
In a second aspect, the present application provides an analysis node generation apparatus, including:
the receiving module is used for receiving an analysis node generation instruction input by a user; the analysis node generation instruction comprises analysis parameters and analysis requirements;
the determining module is used for determining target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement;
and the generating module is used for generating a corresponding target analysis node according to the analysis parameters and the target analysis operation.
In a third aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores a computer program executable by the processor, and the processor can execute the computer program to implement the method of any of the foregoing embodiments.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to any of the preceding embodiments.
The analysis node generation method, the analysis node generation device, the electronic device and the storage medium provided by the embodiment of the application receive an analysis node generation instruction input by a user, and then determine a target analysis operation to be performed according to a pre-stored analysis operation characteristic and an analysis requirement in the analysis node generation instruction. By the method, specific analysis operation can be determined directly according to the analysis requirement input by the user, so that the corresponding target analysis node is directly generated, the user does not need to determine in advance what analysis operation should be executed and what the sequence among the analysis operations should be according to the analysis result desired to be obtained, the logic thinking ability and data processing knowledge of the user are not required to be high, and the method is beneficial to the universal application of different users.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 shows a block schematic diagram of an electronic device provided in an embodiment of the present application;
fig. 2 is a schematic flowchart illustrating an analysis node generation method according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating another analysis node generation method according to an embodiment of the present application;
FIG. 4 is a schematic diagram illustrating an analysis node generation interface according to the present application;
FIG. 5 illustrates another analysis node generation interface diagram;
fig. 6 is a schematic flowchart illustrating another analysis node generation method according to an embodiment of the present application;
fig. 7 is a schematic flowchart illustrating another analysis node generation method according to an embodiment of the present application;
FIG. 8 illustrates another analysis node generation interface diagram;
FIG. 9 is a schematic diagram of another analysis node generation interface;
fig. 10 is a schematic flowchart illustrating another analysis node generation method according to an embodiment of the present application;
FIG. 11 illustrates another analysis node generation interface diagram;
FIG. 12 illustrates another analysis node generation interface diagram;
FIG. 13 illustrates another analysis node generation interface diagram;
FIG. 14 is a schematic diagram of another analysis node generation interface;
FIG. 15 illustrates another analysis node generation interface diagram;
fig. 16 is a functional block diagram of an analysis node generation apparatus according to an embodiment of the present application.
Icon:
10-an electronic device; 100-a memory; 110-a processor; 120-a communication module; 20-function selection box; 21-formula input box; 22-combine operator Add button; 23-a store button; 24-outlier analysis button; 25-field to be analyzed input box; 26-outlier range entry box; 27-result description input box; 28-ok button; 29-Chart node Generation button; 30-field selection box; 31-chart type selection box; 32-analysis requirements configuration box; 33-a chart display box; 200-a receiving module; 210-a determination module; 220-generating module.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
At present, data analysis tools are widely used in life and work, and a user can analyze data through various analysis operations in the data analysis tools so as to obtain corresponding analysis results.
Most BI (Business Intelligence) class data analysis products select fields to be analyzed based on an original data table, and perform SQL-like operation on the fields to be analyzed through logic visualization configuration, so as to obtain corresponding analysis results. Considering the complexity of product design and development and the configuration cost of users, different analysis operations are often set in a BI-based data analysis product, each analysis operation corresponds to an operation function, such as screening, new column addition, new row addition, classification, summarization, and the like, and each analysis operation can correspondingly generate a corresponding analysis node, such as a screening node, a summarization node, and the like. Therefore, a user can generate different analysis nodes through visual configuration according to the determined analysis operation, and arrange the different analysis nodes according to a certain analysis sequence, so that a data analysis process aiming at the field to be analyzed is realized, and an analysis result is obtained.
In the prior art, before a user wants to obtain a certain analysis result, it is often necessary to determine what analysis operation should be performed and a logic sequence between the analysis operations in advance according to the analysis result, and generate different analysis nodes through visual configuration on the basis of determining the analysis operation and the logic sequence. That is, the user needs to further combine each analysis operation in the data analysis product with the implementation logic of the analysis result on the mathematical level on the basis of understanding the analysis effect of each operation in the data analysis product used by the user and the implementation logic of the analysis result on the mathematical level, so as to generate a corresponding analysis node through the data analysis product, thereby obtaining a corresponding analysis result. Obviously, the process has higher requirements on the user's understanding degree, logical thinking ability, data processing knowledge and the like of the data analysis product, and is not beneficial to the universal application of different users. In addition, since the user needs to generate the corresponding analysis node by visual configuration according to the determined analysis operation, there is also a problem of inconvenient use.
Therefore, the embodiments of the present application provide an analysis node generation method to solve the above problems.
Specifically, fig. 1 is a block diagram of an electronic device 10, please refer to fig. 1, which includes a memory 100, a processor 110 and a communication module 120. The elements of the memory 100, the processor 110, and the communication module 120 are electrically connected to each other, directly or indirectly, to enable data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 100 is used for storing programs or data.
The Memory 100 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 110 is used to read/write data or programs stored in the memory and perform corresponding functions.
The communication module 120 is used for establishing a communication connection between the server and other communication terminals through a network, and for transceiving data through the network.
Optionally, the electronic device 10 may be a PC terminal, or a mobile terminal, such as a mobile phone, a tablet, or the like, and in a possible implementation manner, data analysis software may be downloaded on the electronic device, so that a user may analyze data to be analyzed through the data analysis software; in another possible implementation manner, the electronic device may be connected to a network, and the user may access an online data analysis platform such as a data analysis website, an applet, and a public cloud, so as to analyze data.
It should be understood that the configuration shown in fig. 1 is merely a schematic configuration diagram of an electronic device, which may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Next, taking the electronic device 10 in fig. 1 as an execution subject, an exemplary description is given, with reference to a flowchart, of an analysis node generation method provided in the embodiment of the present application, specifically, fig. 2 is a flowchart of an analysis node generation method provided in the embodiment of the present application, please refer to fig. 2, where the method includes:
and step S20, receiving an analysis node generation instruction input by a user.
The analysis node generation instruction comprises analysis parameters and analysis requirements;
optionally, the analysis node generation instruction is used to instruct the electronic device to generate a corresponding analysis node, so as to implement an analysis operation on the field to be analyzed, and obtain an analysis result of the field to be analyzed.
Optionally, the analysis parameters refer to parameters for performing data analysis; the analysis requirements may characterize the analysis results that the user wants to obtain, such as duty analysis, outlier analysis, and the like.
And S21, determining target analysis operation to be performed according to the prestored analysis operation characteristics and the analysis requirement.
Alternatively, the analysis operation characteristics may be characteristics corresponding to each analysis operation, and in a possible implementation manner, the analysis operation characteristics may be set by a user in advance and saved in the electronic device.
Optionally, the target analysis operation is a target analysis operation that should be performed to fulfill an analysis requirement of the user.
And S22, generating a corresponding target analysis node according to the analysis parameters and the target analysis operation.
Optionally, since different analysis operations may generate different analysis nodes correspondingly, the electronic device may generate a corresponding target analysis node in combination with the analysis parameters after determining that the target analysis operation should be performed.
Optionally, the target analysis node may include an analysis result obtained by performing data analysis on the field to be analyzed through a target analysis operation.
Alternatively, the analysis result may be presented in the form of an analysis table or data, or may be presented in the form of a graph.
In this embodiment, the electronic device may determine, when receiving an analysis node generation instruction input by a user, a target analysis operation that should be performed according to an analysis requirement in the analysis node generation instruction, and then directly generate a corresponding target analysis node according to an analysis parameter in the analysis node generation instruction and the target analysis operation.
According to the analysis node generation method provided by the embodiment of the application, an analysis node generation instruction input by a user is received, and then target analysis operation to be performed is determined according to the pre-stored analysis operation characteristics and the analysis requirement in the analysis node generation instruction. By the method, the electronic equipment can directly determine which specific analysis operation should be performed according to the analysis requirement input by the user, so that the corresponding target analysis node is directly generated, the user does not need to determine in advance which analysis operation should be performed and how the sequence among the analysis operations should be according to the analysis result desired to be obtained, the logic thinking ability and the data processing knowledge of the user are not high, and the method is beneficial to universal application for different users.
Alternatively, the analysis operations may be divided into a single analysis operation, which refers to an analysis operation corresponding to one arithmetic function, such as screening, newly adding columns, sorting, and the like, and a combined analysis operation, which corresponds to a plurality of arithmetic functions, such as proportion analysis including sorting, summarizing, screening, and the like.
Alternatively, since the analysis operations are essentially linked to the mathematical logic, different analysis operations can be described by different operators, respectively. It will be appreciated that the operator may be a simple logical language, and that different operators may be used to describe different operational functions, i.e. each analysis operation may correspond to an operator that is capable of describing its operational function.
In a possible implementation manner, because a plurality of single analysis operations are often set in the data analysis tool, and each single analysis operation may generate one analysis node correspondingly, an operator corresponding to each single analysis operation may be stored in the electronic device, that is, the analysis operation includes an operator corresponding to each single analysis operation, and meanwhile, in order to facilitate the operation of a user, the analysis requirement may be an analysis requirement formula.
Specifically, on the basis of fig. 2, fig. 3 is another schematic flow chart of the analysis node generation method provided in the embodiment of the present application, please refer to fig. 3, where the step S21 may also be implemented by the following steps:
s21-1, analyzing the analysis requirement formula according to a preset analysis language to obtain an operator combination corresponding to the analysis requirement formula;
wherein the operator combination comprises operators arranged according to the analysis order.
In this embodiment, a formula input box may be set in the data analysis tool, so that the user may input a corresponding analysis requirement formula and analysis parameters based on the formula input box, and the electronic device may respond to the confirmation operation of the user and receive an analysis node generation instruction input by the user.
Optionally, the analysis requirement formula may be a mathematical formula, or a formula expressed by a certain logic language, and a specific form thereof may be set according to an actual use condition, which is not limited in this application.
Optionally, the parsing language is used for parsing the analysis requirement formula to obtain an operator combination corresponding to the analysis requirement formula, and it can be understood that the parsing language should correspond to a form of the analysis requirement formula. In one possible implementation, the parsing language may be an FDAX language.
Optionally, the analysis requirement formula input by the user may include a plurality of operation functions, and therefore a plurality of operators may be corresponding to the analysis requirement formula after the analysis, and the plurality of operators may be arranged according to the operation logic of the analysis requirement formula, so as to form an operator combination corresponding to the analysis requirement formula.
Optionally, the analysis requirement formula may also include only one operation function, and at this time, the analysis requirement formula may be analyzed according to a preset analysis language to obtain an operator combination corresponding to the analysis requirement formula.
And S21-2, matching the operators contained in the operator combination with the operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
Optionally, after obtaining the operator included in the operator combination, the electronic device may match the operator with the operator corresponding to each pre-stored single analysis operation, so as to determine that the single analysis operation successfully matched is the target analysis operation.
It can be understood that, if the operator combination includes a plurality of operators, the target analysis operation includes a plurality of single analysis operations; if the operator combination only contains one operator, the target analysis operation only comprises one single analysis operation.
In one example, referring to fig. 4, an analysis node generation function may be provided in the data analysis tool, and the electronic device may display an analysis node generation interface in response to a trigger of a user for the analysis node generation function, where the analysis node generation interface includes a function selection box 20 and a formula input box 21, and the user may input an analysis requirement formula and analysis parameters through the formula input box 21, for example, if the user wants to calculate a ratio of a city production value to a provincial production value in 2022 years, "FILTER ($ { time } = 2022), subtotals ($ { city }, $ { production value })/Subtotals ($ { province }, $ { production value })" may be input.
It is understood that "$ { time } =2022", "$ { city }, $ { yield })" and "$ { province }, $ { yield }", among them, are analysis parameters.
In this example, the user may input the corresponding analysis parameters after selecting the corresponding analysis requirement formula through the function selection box 20; and a corresponding analysis requirement formula and analysis parameters can also be directly input.
After a user inputs an analysis requirement formula and analysis parameters, the user can click a determination button, the electronic device can respond to the determination operation of the user, receive an analysis node generation instruction, analyze the common identification of the analysis requirements according to a pre-stored analysis language to obtain an operator combination corresponding to the analysis requirement formula, match operators contained in the operator combination with operators corresponding to the pre-stored single analysis operations, and obtain a target analysis operation.
Alternatively, the user may set a combination operator based on existing single analysis operations in the data analysis tool, for example, combine the two single analysis operations of filtering and classifying, and store the operators corresponding to the two single analysis operations in the form of the combination operator.
On the basis, the method further comprises the following steps: responding to the storage operation of the user, and determining a target operator corresponding to each analysis node selected by the user; the target operator is an operator corresponding to the analysis operation in each analysis node; and combining the target operators according to the arrangement sequence of each analysis node to obtain a combined operator and storing the combined operator.
In this embodiment, the user may select some single analysis operations based on the analysis nodes that have been generated during the data analysis process and save them in the form of a combination operator. In this case, the electronic device may respond to the storage operation of the user, determine a target operator corresponding to each analysis node selected by the user, combine the target operators to generate a combined operator, and store the combined operator.
It can be understood that, in the data analysis tool, each single analysis operation may generate one analysis node correspondingly, so that the target operator is an operator corresponding to the analysis operation in the analysis node selected by the user.
Optionally, the electronic device may combine the target operators according to the current arrangement order of the analysis nodes, so as to store the target operators in the form of combined operators.
In one example, referring to fig. 5, a data analysis process may be presented in the form of an analysis table, and the analysis table includes a plurality of analysis nodes, each of which includes a corresponding analysis operation. The user can select the analysis node already generated in the analysis table by activating the combine operator add button 22 in the analysis table.
In this example, if the analysis nodes selected by the user are four nodes, "summary by category", "formula", and "field reselect" respectively, and the storage button 23 is clicked, the electronic device may respond to the storage operation of the user, determine the target operators corresponding to the four nodes respectively, combine the target operators according to the sequence of "summary by category", "formula", and "field reselect", and store the target operators in the form of a combined operator.
Alternatively, the electronic device may save the analysis parameters in the respective analysis nodes while saving the combination operator. In addition, the user can also name the combinator.
Optionally, when performing data analysis, the user may issue an analysis node generation instruction based on a combination operator already stored in the data analysis tool.
It will be appreciated that in this case, the analysis operation characteristics include at least one combination operator, and the operator to which each single analysis operation corresponds.
Optionally, the analysis requirement may be a target combination operator name, and the electronic device may determine the target analysis operation based on the target combination operator name, the combination operator, and an operator corresponding to each single analysis operation. Specifically, on the basis of fig. 2, fig. 6 is another schematic flow chart of the analysis node generation method provided in the embodiment of the present application, please refer to fig. 6, where step S21 may also be implemented by the following steps:
s21-3, determining a corresponding target combined operator according to the target combined operator name and the analysis operation characteristics;
optionally, the user may issue an analysis node generation instruction in a manner of inputting a target combination operator name or clicking a target combination operator name and inputting a corresponding analysis parameter. Optionally, the electronic device determines, when receiving the analysis node generation instruction, a corresponding target combination operator from the stored combination operators according to the target combination operator name.
And S21-4, matching the target combination operator with the operator corresponding to each single analysis operation, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
Optionally, the electronic device may match the target combination operator with the operator corresponding to each single analysis operation, so as to obtain an operator successfully matched, and the single analysis operation corresponding to the operator successfully matched is the target analysis operation.
Optionally, since the electronic device may also store the analysis parameter while storing the combination operator, when issuing the analysis node generation instruction based on the combination operator, the existing analysis parameter may be modified or may not be modified.
Optionally, if the user does not modify the existing analysis parameters, the electronic device may select a field with the same field name as the field to be analyzed in the existing analysis parameters for analysis based on the current original data table.
In an example, if the electronic device already stores the composition operator 1, and the field name of the field to be analyzed in the stored analysis parameters is "field a", and the original data table imported by the user includes the field with the field name of "field a", on this basis, if the user does not modify the analysis parameters in the original data table when issuing the analysis node generation instruction, the electronic device may use the field with the field name of "field a" in the original data table imported currently as the field to be analyzed, and analyze the field.
According to the analysis node generation method provided by the embodiment of the application, the user can add the combined operator based on own data analysis requirements or actual application scenes and save the combined operator, and the saved combined operator is directly multiplexed during application, so that the convenience of user operation is improved.
In another possible implementation manner, at least one combined analysis operation composed of a plurality of single analysis operations may be stored in the electronic device in advance. It will be appreciated that the combined analysis operation is saved to the electronic device as a combination of a plurality of individual analysis operations.
Optionally, the combined analysis operation may be a combined analysis operation stored in the electronic device in advance, or may be self-stored and generated by the user based on a plurality of single analysis operations in the data analysis process, in combination with the data analysis requirements or the actual analysis scenarios.
On the basis, the analysis operation characteristics can comprise at least one combined analysis operation, and then the analysis requirement can comprise an operation name. The electronic device may determine the target analysis operation according to the operation name and the combined analysis operation, specifically, on the basis of fig. 2, fig. 7 is another schematic flow chart of the analysis node generation method provided in the embodiment of the present application, please refer to fig. 7, and step S21 may also be implemented by the following steps:
and S21-5, determining target combined analysis operation corresponding to the operation name from the pre-stored analysis operation characteristics, and determining single analysis operation contained in the target combined analysis operation as the target analysis operation.
In a possible implementation manner, a user may input a corresponding operation name through an input box, and the electronic device may determine a corresponding target combination analysis operation according to the operation name; in another possible existing manner, a user may click on a combination analysis operation corresponding to an operation name in combination analysis operations stored in the electronic device, and the electronic device may determine, in response to the operation of the user, that the combination operation corresponding to the operation name is a target combination analysis operation.
In this embodiment, the electronic device may determine a target combined analysis operation corresponding to the operation name from the pre-stored analysis operation characteristics, and since the combined analysis operation is composed of a plurality of single analysis operations, a plurality of single analysis operations in the target combined analysis operation may be determined as the target analysis operation.
In one example, referring to fig. 8, if the analysis requirement of the user is the operation name "outlier analysis", the electronic device may pop up an analysis parameter input interface in response to the user clicking on the outlier analysis button 24, and the user may input analysis parameters in the analysis parameter input interface.
Referring to fig. 9, the analysis parameter input interface includes a field to be analyzed input box 25, an outlier range input box 26, and a result description input box 27, so that the user can select a field to be analyzed in the field to be analyzed input box 25, select an outlier range in the outlier range input box 26, and input an analysis result description in the result description input box 27.
In the present example, the electronic device may receive an analysis node generation instruction input by the user in response to a click operation of the user on the determination button 28, determine the target combination analysis operation as the outlier analysis according to the operation name "outlier analysis", and determine each single analysis operation in the outlier analysis as the target analysis operation.
Optionally, after determining the target analysis operation, the electronic device may further generate a corresponding target analysis node according to the target analysis operation and the analysis parameter, where the analysis parameter may include a field to be analyzed and a configuration parameter, and then the electronic device may perform parameter configuration on the analysis operation according to the configuration parameter, and then analyze the field to be analyzed to generate the corresponding target analysis node. Specifically, on the basis of fig. 2, fig. 10 is another schematic flow chart of the analysis node generation method provided in the embodiment of the present application, please refer to fig. 10, and the step S22 may also be implemented by the following steps:
s22-1, performing parameter configuration on target analysis operation according to configuration parameters;
and S22-2, analyzing the field to be analyzed by completing the target analysis operation of parameter configuration, and generating a corresponding target analysis node.
Optionally, the electronic device may perform parameter configuration on some target analysis operations that need parameter configuration according to configuration parameters in the analysis parameters to obtain target analysis operations that complete parameter configuration, and then may analyze the field to be analyzed through the target analysis operations to obtain an analysis result and generate a corresponding target analysis node at the same time.
Continuing with the example of outlier analysis in fig. 8, the analysis parameters include a field to be analyzed and an outlier range, wherein the outlier range is the configuration parameter. In the process of outlier analysis, when an outlier behavior and a non-outlier behavior are marked, a formula is needed to be used: IF ((calculation index)<(calculation of the index average-n
Standard deviation of calculation index)) | (calculation index)>(calculation of the index average + n)
Calculating index standard deviation)), "yes" and "no"), wherein n is an outlier range, and on the basis, the electronic equipment can perform parameter configuration on the analysis operation according to the configuration parameters and then analyze the field to be analyzed.
Alternatively, the target analysis node may be a combined analysis node in order to facilitate the user to directly obtain the analysis result. Specifically, the step S22-2 can be further implemented by:
under the condition that a plurality of target analysis operations are performed, analyzing the field to be analyzed by completing the plurality of target analysis operations of parameter configuration to obtain an analysis result; generating corresponding combined analysis nodes according to the target analysis operations and the analysis results;
the combined analysis node comprises a plurality of target sub-analysis nodes, and each target sub-analysis node corresponds to one target analysis operation.
In this embodiment, if the target analysis operation is multiple, the electronic device may generate a corresponding combined analysis node according to the multiple target analysis operations and the analysis result after obtaining the analysis result.
Optionally, the combined analysis node includes a target analysis node corresponding to a plurality of target sub-analysis operations, and on this basis, the combined analysis node and the plurality of target sub-analysis nodes may be transformed into each other.
In a possible implementation manner, if a user wants to combine the analysis results in the analysis nodes to be presented in the form of an analysis table or data, an analysis node generation instruction may be issued in the manner described above.
In an example, please refer to fig. 11, taking an example that a combination operator a is stored in the electronic device, and a target combination operator name is also "combination operator a", the electronic device may respond to the target combination operator name selected by a user or directly input, determine that the target combination operator is the combination operator a, determine a target analysis operation according to the combination operator a and an operator corresponding to each single analysis operation, then configure the target analysis operation according to a configuration parameter in the analysis parameters, analyze a field to be analyzed, obtain an analysis result, and then generate a corresponding combination analysis node according to a plurality of target analysis operations and the analysis result.
In this example, the combined analysis node is an a analysis node. As can be understood, the a analysis node includes a target sub analysis node corresponding to a plurality of target analysis operations.
In another possible implementation manner, if the user wants to present the analysis result in the target analysis node in the form of a graph, the user needs to configure the analysis node in advance to present in the form of a graph, for example, click a graph node generation button, enter a graph node generation interface, and issue a node generation instruction through the graph node generation interface.
In one example, referring to fig. 12, the electronic device may generate a chart node generation interface in response to a user clicking on the chart node generation button 29, and the user may input analysis parameters and analysis requirements, such as an analysis requirement formula, through the icon interface.
In this example, please refer to fig. 13, the chart node generation interface includes a field selection box 30, a chart type selection box 31, an analysis requirement configuration box 32, and a chart display box 33, then the user may drag the fields in the field selection box 30 to the analysis requirement configuration box 32, complete the input of the analysis parameters and the analysis requirement in the analysis requirement configuration box, and select the chart form to be generated in the chart type selection box 31, the electronic device may determine the target analysis operation and generate the target analysis node in response to the operation of the user, please refer to fig. 14, and in the generated combined analysis node, i.e., the chart-supermarket node, the analysis result may be displayed in the chart display box 33 in the form of a chart.
Optionally, since the combined analysis node and the plurality of target sub-analysis nodes may be mutually transformed, the electronic device may further split the combined analysis node into the plurality of target sub-analysis nodes in response to a splitting instruction of the user for the combined analysis node. Optionally, the electronic device may further merge a plurality of target sub-analysis nodes into one combined analysis node in response to a merge instruction of the user for any one target sub-analysis node.
Optionally, the splitting instruction may be a click operation of the user on the splitting button, or may be an operation set in advance, for example, double-clicking the combined analysis node.
In an example, please continue to refer to fig. 14, the electronic device may display a split button for the chart-supermarket node in response to a right mouse button operation of the user for the chart-supermarket node, and the user may issue a split instruction for the chart-supermarket node to the electronic device by clicking the split button. Referring to fig. 15, the electronic device may split the graph-supermarket node into a screening node, a sorting node, and a graph display node according to the splitting instruction.
In this example, the electronic device may further re-merge the screening node, the sorting node, and the chart display node into a chart-supermarket node in response to a merging instruction of the user for any node of the screening node, the sorting node, and the chart display node.
According to the analysis node generation method provided by the embodiment of the application, the electronic device can split the combined analysis node into the plurality of target sub-analysis nodes, so that a user can conveniently comb the whole analysis process and review the analysis result.
In addition, when the user splits the combined analysis node into a plurality of target sub-analysis nodes, if a problem is found in the combing analysis process or other analysis results are desired to be obtained, the user can directly modify corresponding parameters based on the plurality of target sub-analysis nodes. The electronic device may obtain a modification in a target sub-analysis node by the user, and perform parameter modification on the target sub-analysis nodes arranged behind the target sub-analysis node according to the modified parameter.
It can be understood that, after a user modifies a corresponding parameter for a certain target child node, the modification may affect other target child analysis nodes, and ultimately affect an analysis result, and on this basis, if the plurality of target child analysis nodes are recombined into a combined analysis node, presentation of an analysis result in the combined analysis node may be affected. Obviously, the method can be more flexibly suitable for various analysis requirements and various analysis scenes of the user.
In order to perform corresponding operations in the foregoing embodiments and various possible manners, an implementation manner of the analysis node generation apparatus is given below, and optionally, the analysis node generation apparatus may adopt a device structure of the electronic device shown in fig. 1. Further, referring to fig. 16, fig. 16 is a functional block diagram of an analysis node generation apparatus according to an embodiment of the present disclosure. It should be noted that the basic principle and the resulting technical effect of the analysis node generation apparatus provided in this embodiment are the same as those of the above embodiment, and for the sake of brief description, no part of this embodiment is mentioned, and corresponding contents in the above embodiment may be referred to. The analysis node generation apparatus includes: a receiving module 200, a determining module 210, and a generating module 220.
The receiving module 200 is configured to receive an analysis node generation instruction input by a user; the analysis node generation instruction comprises analysis parameters and analysis requirements;
it is understood that the receiving module 200 may also be configured to perform the step S20;
the determining module 210 is configured to determine a target analysis operation to be performed according to a pre-stored analysis operation characteristic and an analysis requirement;
it is understood that the determining module 210 may be further configured to execute the step S21;
the generating module 220 is configured to generate a corresponding target analysis node according to the analysis parameter and the target analysis operation.
It is understood that the generating module 220 can also be used to execute the above step S22.
Optionally, the determining module 210 is further configured to analyze the analysis requirement formula according to a preset analysis language to obtain an operator combination corresponding to the analysis requirement formula; the operator combination comprises operators arranged according to the analysis sequence; and matching the operators contained in the operator combination with the operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
It is understood that the determining module 210 can also be used to perform the steps S21-1 to S21-2.
Optionally, the determining module 210 is further configured to determine a corresponding target combination operator according to the target combination operator name and the analysis operation feature; and matching the target combination operator with the operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
It can be understood that the determining module 210 can be further configured to perform the steps S21-3 to S21-4.
Optionally, the determining module 210 is further configured to determine, in response to a storage operation of a user, a target operator corresponding to each analysis node selected by the user; the target operator is an operator corresponding to the analysis operation in each analysis node; and combining the target operators according to the arrangement sequence of each analysis node to obtain a combined operator and storing the combined operator.
Optionally, the determining module 210 is further configured to determine a target combination analysis operation corresponding to the operation name from the pre-stored analysis operation features, and determine a single analysis operation included in the target combination analysis operation as the target analysis operation.
It is to be understood that the determining module 210 may also be configured to perform the above step S21-5.
Optionally, the generating module 220 is further configured to perform parameter configuration on the target analysis operation according to the configuration parameters; and analyzing the field to be analyzed by completing the target analysis operation of parameter configuration, and generating a corresponding target analysis node.
It can be understood that the generating module 220 can be further configured to perform the steps S22-1 to S22-2.
Optionally, the generating module 220 is further configured to, when a plurality of target analysis operations are performed, analyze the field to be analyzed by completing the plurality of target analysis operations configured for the parameter, so as to obtain an analysis result; generating corresponding combined analysis nodes according to the target analysis operations and the analysis results; the combined analysis node comprises a plurality of target sub-analysis nodes, and each target sub-analysis node corresponds to one target analysis operation.
The analysis node generation device provided by the embodiment of the application receives an analysis node generation instruction input by a user through a receiving module; the analysis node generation instruction comprises analysis parameters and analysis requirements; determining target analysis operation to be performed through a determining module according to pre-stored analysis operation characteristics and analysis requirements; and generating a corresponding target analysis node according to the analysis parameters and the target analysis operation through a generation module. By the device, the electronic equipment can directly determine which analysis operation should be specifically performed according to the analysis requirement input by the user, so that the corresponding target analysis node is directly generated, the user does not need to determine in advance which analysis operation should be performed and how the sequence among the analysis operations should be according to the analysis result desired to be obtained, the logic thinking ability and the data processing knowledge of the user are not high, and the universal application for different users is facilitated.
Optionally, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, may implement the analysis node generation method provided in the embodiment of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the operations of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. An analysis node generation method, the method comprising:
receiving an analysis node generation instruction input by a user; the analysis node generation instruction comprises analysis parameters and analysis requirements;
determining target analysis operation to be performed according to prestored analysis operation characteristics and the analysis requirement; the analysis operation characteristics comprise operators corresponding to each single analysis operation, the analysis requirements comprise analysis requirement formulas, and each single analysis operation corresponds to an operation function;
the determining of the target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement comprises:
analyzing the analysis requirement formula according to a preset analysis language to obtain an operator combination corresponding to the analysis requirement formula; the operator combination comprises operators arranged according to an analysis order;
matching operators contained in the operator combination with operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation;
and generating a corresponding target analysis node according to the analysis parameters and the target analysis operation.
2. The method of claim 1, wherein the analysis operation characteristics include at least one combination operator and an operator corresponding to each single analysis operation, and the analysis requirement includes a target combination operator name; the determining of the target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement comprises:
determining a corresponding target combined operator according to the target combined operator name and the analysis operation characteristics;
and matching the target combination operator with operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation.
3. The method of claim 2, further comprising:
responding to the storage operation of the user, and determining a target operator corresponding to each analysis node selected by the user; the target operator is an operator corresponding to the analysis operation in each analysis node;
and combining the target operators according to the arrangement sequence of each analysis node to obtain a combined operator and storing the combined operator.
4. The method of claim 1, wherein the analysis operation characteristics include at least one combined analysis operation, and each combined analysis operation is composed of a plurality of single analysis operations, and the analysis requirements include operation names; the determining, according to the pre-stored analysis operation characteristics and the analysis requirements, a target analysis operation that should be performed includes:
and determining target combined analysis operation corresponding to the operation name from pre-stored analysis operation characteristics, and determining single analysis operation contained in the target combined analysis operation as the target analysis operation.
5. The method of claim 1, wherein the analysis parameters include fields to be analyzed and configuration parameters, and wherein generating corresponding target analysis nodes according to the analysis parameters and the target analysis operations comprises:
performing parameter configuration on the target analysis operation according to the configuration parameters;
and analyzing the field to be analyzed by completing the target analysis operation of parameter configuration, and generating a corresponding target analysis node.
6. The method of claim 5, wherein the analyzing the field to be analyzed and generating a corresponding target analysis node by performing a target analysis operation of parameter configuration comprises:
under the condition that the number of the target analysis operations is multiple, analyzing the field to be analyzed through the multiple target analysis operations for completing parameter configuration to obtain an analysis result;
generating a corresponding combined analysis node according to the target analysis operations and the analysis result; the combined analysis node comprises a plurality of target sub-analysis nodes, and each target sub-analysis node corresponds to one target analysis operation.
7. An analysis node generation apparatus, the apparatus comprising:
the receiving module is used for receiving an analysis node generation instruction input by a user; the analysis node generation instruction comprises analysis parameters and analysis requirements;
the determining module is used for determining target analysis operation to be performed according to the pre-stored analysis operation characteristics and the analysis requirement; the analysis operation characteristics comprise operators corresponding to each single analysis operation, the analysis requirements comprise analysis requirement formulas, and each single analysis operation corresponds to an operation function;
the determining module is further configured to analyze the analysis requirement formula according to a preset analysis language to obtain an operator combination corresponding to the analysis requirement formula; the operator combination comprises operators arranged according to the analysis sequence; matching the operators contained in the operator combination with the operators corresponding to the single analysis operations, and determining the single analysis operation corresponding to the operator which is successfully matched as the target analysis operation;
and the generating module is used for generating a corresponding target analysis node according to the analysis parameters and the target analysis operation.
8. An electronic device comprising a processor and a memory, the memory storing a computer program executable by the processor, the processor being configured to execute the computer program to implement the method of any of claims 1-6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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