CN111190889A - Method and device for displaying equipment front-end data, electronic equipment and storage medium - Google Patents
Method and device for displaying equipment front-end data, electronic equipment and storage medium Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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Abstract
The invention discloses a method for displaying data of a front end of equipment, which comprises the following steps: receiving a data display request, and acquiring target data according to the data display request; performing invalid data removal and data integration on each statistical parameter in the target data according to a preset data sorting rule; and feeding back the target data subjected to data integration to the front end according to a preset data display rule so as to display the target data to a user. According to the invention, invalid data are removed from the target data, then the statistical results of all statistical parameters are subjected to data integration to obtain the final effective statistical result, and only the finally obtained effective statistical result is displayed to the user according to the preset display rule, so that settlement can be intuitively performed according to the displayed effective data without additional special description, the user experience is improved, the cost is reduced, the displayed data are simple, recalculation is not required, and the labor intensity of data analysts is reduced.
Description
Technical Field
The present invention relates to the field of computers, and in particular, to a method and an apparatus for displaying device front-end data, an electronic device, and a computer-readable storage medium.
Background
In information flow advertisement delivery, a delivery link often needs to be spliced with a plurality of parameters for distinguishing channel sources, activity data and the like of access users, carrying out corresponding data statistics, and then displaying the data to the front end, so as to help activity operators to realize refined storage and analysis of the data, and the data counted by the back end is also the basis for settlement with channel agents. As shown in fig. 1, during settlement, the front end retrieves and displays the statistical results of various statistical parameters from the back end, such as the statistical results of activity pages UVUV corresponding to three activity data "12 msq _ qy _ zs4 w", "12 msq _2019cjyxwl _ qy _ fh" and "12 msq _2019cjyxwl _ qy _ ivr", respectively, and the statistical results of registered users corresponding to three activity data "12 msq _ qy _ zs4 w", "12 msq _2019cjyxwl _ qy _ fh" and "12 msq _2019cjyxwl _ qy _ ivr", respectively.
However, the displayed data includes different statistical parameters and statistical results corresponding to different activity data, so that the displayed data structure is complex, and data processing needs to be performed again, for example, the statistical results of the activity pages UVUV corresponding to three activity data are accumulated and then settled, so that the user experience is reduced. On the other hand, in settlement, a CPC settlement (Cost per Click) mode is mostly adopted, that is, only after a user clicks on the delivered paid advertisement, the user is charged. However, when the conventional data presentation method has repeated statistical data, for example, when the activity data 12msq _ qy _ zs4w _ ivr/_ hf is monitored, the amount of the activity page UV corresponding to each of the activity data 12msq _ qy _ zs4w and the activity data 12msq _ qy _ zs4w _ ivr/_ hf is increased by 1, thereby causing repeated statistics, and therefore, when the settlement is performed, the data of the repeated statistics is presented, and therefore, special description is required to be performed to prevent settlement cost from being included in such data.
Therefore, the data displayed by the existing data display mode is complex in structure, needs to be calculated again, increases the workload of operators, needs additional auxiliary explanation, brings additional communication cost, and brings additional settlement cost when the communication is invalid. In view of the above, how to display data without extra communication is a problem that needs to be solved at present.
The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of the above, the present specification has been developed to provide a method of device front-end data presentation, an apparatus, an electronic device, and a computer-readable storage medium thereof, which overcome or at least partially solve the above problems.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or may be learned by practice of the disclosure.
In a first aspect, the present invention discloses a method for displaying device front-end data, including:
receiving a data display request, and acquiring target data according to the data display request;
performing invalid data removal and data integration on each statistical parameter in the target data according to a preset data sorting rule;
and feeding back the target data subjected to data integration to the front end according to a preset data display rule so as to display the target data to a user.
The target data comprises at least one first-class activity data, one second-class activity data, at least four statistical parameters and statistical results of the activity data corresponding to the statistical parameters.
In an exemplary embodiment of the present disclosure, the preset data sorting rule includes: taking the statistical result of the first statistical parameter corresponding to the first type of activity data in the target data as invalid data and clearing; and then, aiming at each statistical parameter, overlapping the statistical results of the same statistical parameter respectively corresponding to the first type of activity data and the second type of activity data, and respectively taking the overlapped result of each statistical parameter as the effective statistical result of the second type of activity data corresponding to each statistical parameter.
Wherein the first type of activity data is activity data carrying suffix marks; preferably, the suffix mark comprises: a first suffix tag identifying a return landing page, or a second suffix tag identifying a voice verification process.
Wherein the statistical parameters include: the system comprises an activity page UV, a registered user, a finished user and a credit granting user, wherein the activity page UV is the first statistical parameter.
Wherein, the preset display rule comprises: and only showing the effective statistical results of the second-class activity data corresponding to the statistical parameters.
In an exemplary embodiment of the present disclosure, the step of performing invalid data removal and data integration on each statistical parameter in the target data according to a preset data sorting rule specifically includes:
identifying the type of each active data in the target data;
and if the first type of activity data is identified, clearing the statistical results of the first statistical parameters corresponding to the first type of activity data, and then respectively superposing the statistical results of the statistical parameters corresponding to the first type of activity data to the statistical results of the statistical parameters corresponding to the second type of activity data.
In a second aspect, the present invention provides an apparatus for displaying front-end data of a device, including:
the rule storage module is used for storing a preset data sorting rule and a preset data display rule;
a data acquisition module for receiving a data display request and acquiring target data according to the data display request
The data processing module is used for carrying out invalid data clearing and data integration on each statistical parameter in the target data according to the data sorting rule;
and the data transceiver module is used for feeding back the target data subjected to data integration to the front end according to the data display rule so as to display the target data to a user.
In an exemplary embodiment of the present disclosure, the data processing module includes:
the activity data type identification unit is used for identifying the type of each activity data in the target data;
the invalid data clearing unit is used for regarding the statistical result of the first statistical parameter corresponding to the first type of the activity data as invalid data and clearing the invalid data when the activity data type identification unit identifies the first type of the activity data;
and the data integration unit is used for respectively superposing each statistical result of each statistical parameter corresponding to the first type of activity data to each statistical result of each statistical parameter corresponding to the second type of activity data after the invalid data clearing unit clears the statistical results.
In a third aspect, the present specification provides an electronic device comprising at least one processor, at least one memory, a communication interface, and a bus; the processor, the memory and the communication interface complete mutual communication through the bus: the memory is used for storing a program of any one of the methods; the processor is configured to execute the program stored in the memory to implement the steps of any of the methods described above.
In a fourth aspect, the present specification provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any of the above methods.
The invention has the beneficial effects that:
the invention can identify invalid data from the statistical results of each statistical parameter in the target data according to the data sorting rule through the preset data sorting rule and clear the invalid data, then the statistical results of each statistical parameter corresponding to the first type of activity data and the second type of activity data are integrated to obtain the final effective statistical result, and only the finally obtained effective statistical result is displayed to the user according to the preset display rule, so that the settlement can be intuitively performed according to the displayed effective data without additional special explanation, the user experience is improved, the cost is reduced, and at the same time, the displayed data is the final effective statistical result after data integration, so that the complexity of the displayed data is reduced, recalculation is not needed, and the labor intensity of data operators is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is an example of target data exposed in an existing data exposure;
FIG. 2 illustrates a flow chart of a method of device front end data exposure in accordance with an exemplary embodiment;
FIG. 3 is a detailed flowchart of one embodiment of step S202 of the method of FIG. 1;
FIG. 4 is a diagram reflecting an example of the invalid data of FIG. 1 cleared to zero;
FIG. 5 is an example of data integration of the statistics of FIG. 4;
FIG. 6 is an example of a device front-end presentation reflecting target data after invalidation clearing and data consolidation;
FIG. 7 is a block diagram illustrating an apparatus front end data presentation device in accordance with another illustrative embodiment;
FIG. 8 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The example embodiments described below may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the disclosed concept. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It is to be understood by those skilled in the art that the drawings are merely schematic representations of exemplary embodiments, and that the blocks or processes shown in the drawings are not necessarily required to practice the present disclosure and are, therefore, not intended to limit the scope of the present disclosure.
The invention provides a method for displaying data at the front end of equipment, which is used for solving the problems that in the prior art, effective data cannot be displayed intuitively due to direct display of statistical results, and cost is increased due to the need of special explanation, and in order to solve the problems, the general idea of the invention is as follows: when a data display request is received, acquiring target data from data according to the data display request; then, according to a preset data sorting rule, carrying out invalid data clearing and data integration on each statistical parameter in the target data; and finally, displaying the target data subjected to data integration according to a preset data display rule. The invention eliminates invalid data in the target data, integrates the data, and displays the processed data in a specific data display mode, so that the valid data can be directly obtained, the settlement can be directly performed according to the displayed valid data, an outward communication or auxiliary method is not needed, the user experience is further improved, and the cost is also reduced.
In the embodiments of the present invention, the terms referred to are:
the term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The term is defined as:
target data: when a user enters a landing page by clicking a drop link and performs various operations, the back end records various data corresponding to the user, such as a main channel, a sub-channel and activity data, and performs corresponding data statistics according to the recorded various data to finally obtain target data, which includes the main channel (not shown in the figure), the sub-channel (not shown in the figure), the activity data (not shown in the figure) and various statistical parameters, as shown in fig. 1.
Invalid data: because more and more landing pages provide various functions, such as a return monitoring function and a voice verification function, if a user registers in the landing page and jumps to the landing page by using the corresponding function, repeated statistics can be performed when the back end performs data statistics, and the statistical result of the repeated statistics is invalid data. For example, if the user selects to return without inputting any information on the landing page, the system skips to return to the landing page after monitoring the return operation, and after the user completes registration on the landing page again, the back end records corresponding data (for example, adds a corresponding suffix mark "fh" as a mark for returning and monitoring after corresponding to the activity information parameter), and performs data statistics, the statistical parameter activity page UVUV will simultaneously add one to the statistical results of the activity information parameter "12 msq _2019cjyxwl _ qy _ fh" and the activity information parameter "12 msq _2019cjyxwl _ qy", respectively; similarly, if the user selects the voice verification on the landing page and jumps back to the landing page after completing the voice verification, the back end records the corresponding data (for example, adds the corresponding suffix "ivr" as the mark of the voice verification process after corresponding to the activity information parameter), and performs data statistics, the statistical result of the activity page UVUV corresponding to the activity information parameter "12 msq _2019cjyxwl _ qy _ ivr" and the activity information parameter "12 msq _2019cjyxwl _ qy" respectively is added with one at the same time, however, actually, the statistical result of the activity page UV corresponding to the activity information parameter "12 msq _2019 cjxwl _ qy _ fh/ivr" is repeated statistical, that is, the statistical result of the activity page UVUV is invalid data.
The technical solution of the present invention will be described and explained in detail by means of several specific examples.
Referring to fig. 2, the method for front-end data presentation of the present embodiment includes:
s201, receiving a data display request, and acquiring target data according to the data display request.
In this embodiment, the acquired target data includes: at least one first type of activity data and one second type of activity data, at least four statistical parameters, and each statistical parameter corresponding to a statistical result for each activity data. The first type of activity data refers to activity data carrying a suffix mark, the second type of activity data refers to activity data not carrying the suffix mark, and specifically, the suffix mark comprises a first suffix mark for marking to return to a landing page or a second suffix mark for marking a voice verification process; wherein, at least four statistical parameters include: the method comprises the steps of an activity page UV, a registered user, a finished user and a credit granting user, wherein the activity page UV is a first statistical parameter.
In a specific embodiment, referring to fig. 1, the target data comprises: two first types of activity data: "12 msq _2019cjyxwl _ qy _ fh" and "12 msq _2019cjyxwl _ qy _ ivr"; a second type of activity data: "12 msq _2019 cjyxwl"; four statistical parameters: the method comprises the following steps of (1) enabling an active page UV, registered users, finished users and credit users to be used; and each statistical parameter corresponds to a respective statistical result of the respective activity data.
And S202, carrying out invalid data clearing and data integration on each statistical parameter in the target data according to a preset data sorting rule.
In this embodiment, the preset data sorting rule specifically includes: regarding the statistical result of the first statistical parameter corresponding to the first type of activity data in the target data as invalid data and clearing, then, for each statistical parameter, overlapping the same statistical parameter with the statistical result of the first type of activity data and the statistical result of the second type of activity data, and taking the respective overlapping result of each statistical parameter as the final valid statistical result of the second type of activity data corresponding to each statistical parameter, correspondingly, referring to fig. 3, the step S202 specifically includes:
s301, identifying the type of each activity data in the target data, if the type of each activity data is the first type of activity data, executing the step S302, and if the type of each activity data is the second type of activity data, executing the step S303.
In this embodiment, because the target data includes at least two pieces of activity data, that is, at least one piece of first-class activity data and one piece of second-class activity data, and only the piece of activity data carrying the suffix flag is the first-class activity data, it can be determined whether the piece of activity data carries the suffix flag to identify the type of each piece of activity data in the target data one by one, and if the piece of activity data carries the suffix flag, it is determined as the first-class activity data; and if the active data does not carry the suffix mark, judging as the second type of active data.
In a specific embodiment, see fig. 1, where the activity data "12 msq _2019cjyxwl _ qy _ fh" and "12 msq _2019cjyxwl _ qy _ ivr" are judged to be activity data of the first type due to carrying a suffix flag; since the activity data "12 msq _2019cjyxwl _ qy" does not carry a suffix mark, it is judged as the second type of activity data.
S302, regarding the statistical result of the first statistical parameter corresponding to the first type of activity data as invalid data, clearing, and executing the step S303.
In this embodiment, since invalid data needs to be cleared from each item of statistics in the target data first, the invalid data needs to be identified first. As described above, after the suffix mark is carried, it indicates that the user clicks the drop link and enters the landing page, the user does not verify the landing page by the short message service but completes the registration in other ways, so that the landing page jumps, that is, the user click corresponding to the activity data is invalid, and accordingly, the statistical result of the UV corresponding to the activity page, that is, the statistical result of the first statistical parameter is invalid.
In a particular embodiment, since two active data in the target data are identified: "12 msq _2019cjyxwl _ qy _ fh" and "12 msq _2019cjyxwl _ qy _ ivr" are the first type of activity data, and therefore, the statistical results of the first statistical parameter, i.e., the activity page UV, respectively corresponding to the two activity data are regarded as invalid data and are cleared to zero, so that the target data shown in fig. 4 is obtained.
In this embodiment, as described above, the suffix mark is not carried, which indicates that the user has clicked the drop link to enter the landing page, and this is naturally not an invalid click, and accordingly, the statistical results of the first statistical parameters corresponding to the activity data are also valid data, so that when the second type of activity data is identified, the statistical results corresponding to the statistical parameters are determined as valid data, and then, data integration is performed only after the invalid data corresponding to the first type of activity data is cleared.
In a specific embodiment, since the activity data "12 msq _2019cjyxwl _ qy" in the target data is determined to be the second type of activity data, the statistical result corresponding to the activity data of the first statistical parameter, i.e. the activity page UV, is regarded as valid data, i.e. no operation is performed on the statistical result corresponding to the first statistical parameter, see fig. 5.
S303, overlapping the statistical results of the same statistical parameter respectively corresponding to the first type of activity data and the second type of activity data, and taking the overlapping result of each statistical parameter as the effective statistical result of the second type of activity data corresponding to each statistical parameter, and executing step S203.
In this embodiment, in order to simplify the data structure, after the statistical result of the first statistical parameter corresponding to the first type of activity data is cleared, each statistical result needs to be subjected to data integration, specifically, the statistical result of the same statistical parameter corresponding to the first type of activity data and the statistical result of the second type of activity data are respectively superimposed, and the superimposed result is used as the final effective statistical result of the second type of activity data corresponding to each statistical parameter.
In a specific embodiment, the statistical results of the statistical parameter activity page UV, the registered user, the finished user and the credit granting user corresponding to the first type of activity data "12 msq _2019cjyxwl _ qy _ fh" and "12 msq _2019cjyxwl _ qy _ ivr" are superimposed on the statistical results of the statistical parameter activity page UV, the registered user, the finished user and the credit granting user corresponding to the second type of activity data "12 msq _2019 cjyxwl", so as to obtain the final effective statistical result, as shown in fig. 5.
Of course, in another embodiment, since the statistical result of the first type of activity data corresponding to the first statistical parameter is cleared, the statistical result of each other parameter corresponding to the first type of activity data may be directly superimposed on the statistical result of each other corresponding statistical parameter corresponding to the second type of activity data except the first statistical parameter.
And S203, integrating the data of the target data to the front end according to a preset data display rule so as to display the target data to the user.
In this embodiment, since the invalid data in the target data is cleared and data integration is performed in step S202, and only the statistical parameters corresponding to the second type of activity data in the target data after data integration have corresponding statistical data, and the statistical data are all valid, only the integration result of the data fed back from the front end may be displayed, that is, only the valid statistical results of the statistical parameters corresponding to the second type of activity data are fed back, and the statistical results corresponding to other types of activity data do not need to be fed back at all, so that the data display rule is set as: only valid statistical results of the second type of activity data corresponding to the respective statistical parameters are shown.
In a specific embodiment, referring to fig. 6, the front end only finally shows the final valid statistical results of the respective statistical parameters corresponding to the second type of activity data "12 msq _2019 cjyxwl".
In the embodiment, the invalid data is identified from the statistical results of the statistical parameters in the target data through the preset data sorting rule and is cleared, then the statistical results of the statistical parameters corresponding to the first-class activity data and the second-class activity data are integrated to obtain the final effective statistical result, and only the final effective statistical result is displayed to the user according to the preset display rule, so that the settlement can be visually performed according to the displayed effective data, no additional special description is needed, the user experience is improved, the cost is reduced, meanwhile, the displayed data is the final effective statistical result after data integration, the complexity of the displayed data is reduced, recalculation is not needed, and the labor intensity of data operators is reduced.
Based on the same inventive concept as the method for displaying front-end data of a device in the foregoing embodiments, the present invention further provides a front-end device data displaying apparatus, on which a computer program is stored, which, when executed by a processor, implements the steps of any one of the foregoing information processing methods.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the methods of the present invention. For details not disclosed in the embodiment of the apparatus of the present embodiment, please refer to the embodiment of the method disclosed herein.
Referring to fig. 7, a front-end data presentation apparatus of the embodiment includes:
a rule storage module 701, configured to store a pre-configured data sorting rule and a data display rule;
a data obtaining module 702, configured to receive a data display request sent by a front end, and obtain target data from a database according to the data display request;
the data processing module 703 is configured to perform invalid data removal and data integration on each statistical parameter in the acquired target data according to the data sorting rule;
the data transceiver module 704 is configured to feed back the target data after data integration to the front end according to the data display rule, so as to display the target data to the user.
In this embodiment, when a user enters a landing page by clicking a drop link, the back-end database records various data corresponding to the user, such as main channel, sub-channel, and activity data, and performs corresponding data statistics according to the recorded data to finally obtain target data, and stores the target data in the database, see fig. 1.
In this embodiment, since the target data directly obtained from the back-end database includes invalid data and has a complex data structure, if the target data is directly fed back to the front-end for display, not only the data analyst needs to process the target data again, but also the invalid data therein needs to be specially described, so that, in order to perform data display more simply, so that only the valid data can be seen intuitively, before the target data is fed back to the front-end, the obtained target data needs to be subjected to invalid data clearing and data integration according to a preset data sorting rule, specifically, the preset data sorting rule includes: taking the statistical result of the first statistical parameter corresponding to the first type of activity data in the acquired target data as invalid data and clearing; and then, aiming at each statistical parameter, overlapping the statistical results of the same statistical parameter respectively corresponding to the first type of activity data and the second type of activity data, and respectively taking the overlapped result of each statistical parameter as the effective statistical result of the second type of activity data corresponding to each statistical parameter. Correspondingly, the data processing module 703 specifically includes:
the activity data type identification unit is used for identifying the type of each activity data in the target data; specifically, since the target data includes at least two pieces of activity data, that is, at least one piece of first-class activity data and one piece of second-class activity data, and only the piece of activity data carrying the suffix mark is the first-class activity data, the activity data type identification unit may identify the type of the activity data by determining whether the activity data carries the suffix mark, and if the activity data carries the suffix mark, determine that the activity data is the first-class activity data; if the suffix mark is not carried, judging the activity data to be second-class activity data;
the invalid data clearing unit is used for regarding a statistical result of the first statistical parameter corresponding to the first type of event Soviet as invalid data and clearing the invalid data when the first type of event data is identified by the event data type identification unit; specifically, after the suffix mark is carried, the registration is completed by using other modes instead of the verification of the mobile phone short message after the user clicks the release link to enter the landing page, so that the landing page jumps, namely the user click corresponding to the activity data is invalid, and correspondingly, the statistical result of the corresponding activity page UV, namely the first statistical parameter, is invalid, so that when the first type of activity data is identified, the statistical result of the first statistical parameter corresponding to the first type of activity data is regarded as invalid data and then is cleared;
and the data integration unit is used for superposing the statistical results of the statistical parameters corresponding to the first type of activity data and the statistical results of the second type of activity data after the invalid data clearing unit clears the invalid data, and taking the superposed results corresponding to the statistical parameters as the final effective statistical results of the second type of activity data corresponding to the statistical parameters.
In this embodiment, since the invalid data clearing unit clears the invalid data in the target data and the data integration unit performs data integration, only the data integration result may be displayed, that is, the data display rule includes: only valid statistical results of the second type of activity data corresponding to the respective statistical parameters are shown.
In the embodiment, the invalid data is identified from the statistical results of the statistical parameters in the target data through the preset data sorting rule and is cleared, then the statistical results of the statistical parameters corresponding to the first-class activity data and the second-class activity data are integrated to obtain the final effective statistical result, and only the final effective statistical result is displayed to the user according to the preset display rule, so that the settlement can be visually performed according to the displayed effective data, an additional communication or auxiliary method is not needed, the user experience is improved, the cost is reduced, the displayed data is in the final effective statistical result, the complexity of the displayed data is reduced, recalculation is not needed, and the labor intensity of data analysts is reduced.
The third embodiment of the present specification further provides a server, which includes a memory 802, a processor 801 and a computer program stored on the memory 802 and executable on the processor 801, wherein the processor 801 executes the computer program to implement the steps of the method described above. For convenience of explanation, only the parts related to the embodiments of the present specification are shown, and specific technical details are not disclosed, so that reference is made to the method parts of the embodiments of the present specification. The server may be a server device formed by various electronic devices, a PC computer, a network cloud server, or a server function provided on any electronic device such as a mobile phone, a tablet computer, a PDA (Personal digital assistant), a POS (Point of Sales), a vehicle-mounted computer, or a desktop computer.
In particular, the server shown in fig. 8 in connection with the solution provided by the embodiments of the present description constitutes a block diagram, and the bus 800 may comprise any number of interconnected buses and bridges linking together various circuits including one or more processors represented by the processor 801 and a memory represented by the memory 302. The bus 800 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 803 provides an interface between the bus 800 and the receiver and/or transmitter 804, and the receiver and/or transmitter 804 may be separate and independent receivers or transmitters or may be the same element, such as a transceiver, that provides a means for communicating with various other apparatus over a transmission medium. The processor 801 is responsible for managing the bus 800 and general processing, and the memory 802 may be used for storing data used by the processor 801 in performing operations.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a computer-readable storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above method according to the embodiments of the present disclosure.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The computer readable medium carries one or more programs which, when executed by a device, cause the computer readable medium to perform the functions of: receiving a data display request, and acquiring target data according to the data display request; performing invalid data removal and data integration on each statistical parameter in the target data according to a preset data sorting rule; and feeding back the target data subjected to data integration to the front end according to a preset data display rule so as to display the target data to a user. Wherein, the preset data sorting rule comprises: taking the statistical result of the first statistical parameter corresponding to the first type of activity data in the target data as invalid data and clearing; then, aiming at each statistical parameter, overlapping the statistical results of the same statistical parameter respectively corresponding to the first type of activity data and the second type of activity data, and respectively taking the overlapped results of each statistical parameter as the effective statistical results of the second type of activity data corresponding to each statistical parameter; the preset display rule comprises the following steps: and only showing the effective statistical results of the second-class activity data corresponding to the statistical parameters.
Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
While preferred embodiments of the present specification have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all changes and modifications that fall within the scope of the specification.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. In addition, the structures, the proportions, the sizes, and the like shown in the drawings of the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used for limiting the limit conditions which the present disclosure can implement, so that the present disclosure has no technical essence, and any modification of the structures, the change of the proportion relation, or the adjustment of the sizes, should still fall within the scope which the technical contents disclosed in the present disclosure can cover without affecting the technical effects which the present disclosure can produce and the purposes which can be achieved. In addition, the terms "above", "first", "second" and "a" as used in the present specification are for the sake of clarity only, and are not intended to limit the scope of the present disclosure, and changes or modifications of the relative relationship may be made without substantial changes in the technical content.
Claims (10)
1. A method for device front-end data presentation, comprising:
receiving a data display request, and acquiring target data according to the data display request;
performing invalid data removal and data integration on each statistical parameter in the target data according to a preset data sorting rule;
and feeding back the target data subjected to data integration to the front end according to a preset data display rule so as to display the target data to a user.
2. The method of claim 1, wherein the target data comprises at least a first type of activity data and a second type of activity data, at least four statistical parameters, and each statistical parameter corresponds to a statistical result of the respective activity data.
3. The method according to claim 1 or 2, wherein the preset data sorting rule comprises:
taking the statistical result of the first statistical parameter corresponding to the first type of activity data in the target data as invalid data and clearing; and then, aiming at each statistical parameter, overlapping the statistical results of the same statistical parameter respectively corresponding to the first type of activity data and the second type of activity data, and respectively taking the overlapped result of each statistical parameter as the effective statistical result of the second type of activity data corresponding to each statistical parameter.
4. A method according to any of claims 1 to 3, wherein the first type of active data is active data carrying a suffix tag comprising: a first suffix tag identifying a return landing page, or a second suffix tag identifying a voice verification process.
5. The method according to any one of claims 1 to 4, wherein the statistical parameters comprise: the system comprises an activity page UV, a registered user, a finished user and a credit granting user, wherein the activity page UV is the first statistical parameter.
6. The method according to any one of claims 1 to 5, wherein the preset presentation rule comprises: and only showing the effective statistical results of the second-class activity data corresponding to the statistical parameters.
7. The method according to any one of claims 1 to 6, wherein the step of performing invalid data clearing and data integration on each statistical parameter in the target data according to a preset data sorting rule specifically comprises:
identifying the type of each active data in the target data;
and if the first type of activity data is identified, clearing the statistical results of the first statistical parameters corresponding to the first type of activity data, and then respectively superposing the statistical results of the statistical parameters corresponding to the first type of activity data to the statistical results of the statistical parameters corresponding to the second type of activity data.
8. An apparatus for displaying front-end data of a device, comprising:
the rule storage module is used for storing a preset data sorting rule and a preset data display rule;
a data acquisition module for receiving a data display request and acquiring target data according to the data display request
The data processing module is used for carrying out invalid data clearing and data integration on each statistical parameter in the target data according to the data sorting rule;
and the data transceiver module is used for feeding back the target data subjected to data integration to the front end according to the data display rule so as to display the target data to a user.
9. An electronic device comprising at least one processor, at least one memory, a communication interface, and a bus; the processor, the memory and the communication interface complete mutual communication through the bus;
the memory is used for storing a program for executing the method of any one of claims 1 to 7;
the processor is configured to execute programs stored in the memory.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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