CN118132823A

CN118132823A - Data processing method, device, electronic equipment and computer readable storage medium

Info

Publication number: CN118132823A
Application number: CN202410302373.8A
Authority: CN
Inventors: 桑文锋; 曹犟; 刘耀洲; 付力力; 杨岚钦; 李萍
Original assignee: Sensors Data Network Technology Beijing Co Ltd
Current assignee: Sensors Data Network Technology Beijing Co Ltd
Filing date: 2024-03-15
Publication date: 2024-06-04

Abstract

The application discloses a data processing method, a device, an electronic device and a computer readable storage medium, wherein the behavior event table to be processed is obtained, the behavior event table comprises behavior event information corresponding to a plurality of users, and the behavior event information comprises entities associated with the behaviors of the users; determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and a second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types; and receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information, so that analysis efficiency of user behaviors can be improved.

Description

Data processing method, device, electronic equipment and computer readable storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a data processing method, a data processing device, an electronic device, and a computer readable storage medium.

Background

Under the tide of the internet, the electronic commerce industry is continuously developed, and the development direction of the electronic commerce industry is directly influenced by the user behaviors generated by the user, such as different user preferences, interests and other information represented by different user behaviors, so that different operation directions are required to be aimed, and at present, the analysis efficiency of the user behaviors is lower due to more and more messy user behavior data.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, electronic equipment and a computer readable storage medium, which can improve analysis efficiency of user behaviors.

In a first aspect, an embodiment of the present application provides a data processing method, where the method includes:

acquiring a behavior event table to be processed, wherein the behavior event table comprises behavior event information corresponding to a plurality of users, and the behavior event information comprises at least one entity associated with the behaviors of the users;

Determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types;

And receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information.

In a second aspect, an embodiment of the present application further provides a data processing apparatus, where the apparatus includes:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a behavior event table to be processed, the behavior event table comprises behavior event information corresponding to a plurality of users, and the behavior event information comprises at least one entity associated with the behaviors of the users;

The condition determining module is used for determining entity screening conditions corresponding to the behavior event table, carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types;

And the screening module is used for receiving the entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to the target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information.

In some embodiments, the entity grouping task instruction further indicates a target entity screening tag corresponding to the first entity dimension table;

The screening module 203 is specifically configured to:

And carrying out entity screening on the first entity dimension table according to target entity screening labels respectively corresponding to the first entity dimension table and the second entity dimension table to obtain screened entity information.

In some embodiments, the entity screening conditions include at least one entity object tag;

the condition determining module 202 specifically is configured to:

And dividing the entities conforming to the entity object labels in the behavior event information of each user into a group from the behavior event table to obtain an entity dimension table corresponding to the screening object labels.

In some embodiments, the condition determination module 202 is specifically configured to:

And acquiring a user behavior type corresponding to the behavior event table, and determining entity screening conditions corresponding to the behavior event table from a preset screening condition template based on the user behavior type.

Responding to a screening trigger event of the behavior event table, displaying a screening condition editing page, wherein the screening condition editing page comprises at least one type of screening condition editing control;

And responding to target editing operation of target screening condition editing controls in at least one type of screening condition editing controls, and taking entity screening information indicated by the target editing operation as entity screening conditions corresponding to the behavior event table.

In some embodiments, the filtering condition editing control includes at least two filtering sub-controls with different filtering values, and the condition determining module 202 is specifically configured to:

and responding to the selection operation of a target sub-control in at least two screening sub-controls, and taking the target screening value indicated by the target sub-control as the entity screening condition corresponding to the behavior event table.

In some embodiments, the first entity dimension table is further associated with a target chart, and the data processing apparatus further includes an information display module, where the information display module is specifically configured to:

and displaying the screened entity information in a corresponding display mode according to the target chart associated with the first entity dimension table.

In a third aspect, an embodiment of the present application further provides an electronic device, including a memory storing a computer program, where the computer program, when executed by a processor, causes the processor to execute any one of the data processing methods provided by the embodiments of the present application.

In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, which includes a computer program for causing an electronic device to execute any one of the data processing methods provided in the embodiments of the present application, when the computer program is run on the electronic device.

In the embodiment of the application, a behavior event table to be processed is obtained, wherein the behavior event table comprises behavior event information corresponding to a plurality of users, and the behavior event information comprises at least one entity associated with the behaviors of the users; determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types; and receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information, so that analysis efficiency of user behaviors is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of an embodiment of a data processing method according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.

Before explaining the embodiments of the present application in detail, some terms related to the embodiments of the present application are explained.

Wherein in the description of embodiments of the present application, the terms "first," "second," and the like may be used herein to describe various concepts, but are not limited by these terms unless otherwise specified. These terms are only used to distinguish one concept from another. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The embodiment of the application provides a data processing method, a data processing device, electronic equipment and a computer readable storage medium. Specifically, the data processing method of the embodiment of the application can be executed by an electronic device, wherein the electronic device can be a terminal or a server. The terminal may be a terminal device such as a smart phone, a tablet computer, a notebook computer, a touch screen, a game console, a Personal computer (PC, personal Computer), a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), and the like, and the terminal may further include a client, which may be a game application client, a browser client carrying a game program, or an instant messaging client, and the like. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, a content distribution network (Content Delivery Network, CDN), basic cloud computing services such as big data and an artificial intelligent platform.

For example, the electronic device is illustrated by taking a terminal as an example, and the terminal may acquire a behavior event table to be processed, where the behavior event table includes behavior event information corresponding to a plurality of users, and the behavior event information includes at least one entity associated with a behavior of a user; determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types; and receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information.

Based on the above problems, embodiments of the present application provide a data processing method, apparatus, electronic device, and computer readable storage medium, which can improve analysis efficiency of user behavior.

The following detailed description is provided with reference to the accompanying drawings. The following description of the embodiments is not intended to limit the preferred embodiments. Although a logical order is depicted in the flowchart, in some cases the steps shown or described may be performed in an order different than depicted in the figures.

In this embodiment, a terminal is taken as an example for illustration, and this embodiment provides a data processing method, as shown in fig. 1, a specific flow of the data processing method may be as follows:

101. And acquiring a behavior event table to be processed, wherein the behavior event table comprises behavior event information corresponding to a plurality of users, and the behavior event information comprises at least one entity associated with the behaviors of the users.

The behavior event table may be formed by information acquired by the terminal from at least one preset server, where the server is used to acquire behavior events of a user, for example, a certain user purchases a certain commodity in a certain store; the behavior event table may also be directly obtained by the terminal from a server, where the server is configured to obtain a behavior event of the user, and generate a corresponding behavior event table based on the behavior event of the user.

It can be understood that, since the user may generate the behavior event at different time, the behavior event table may be differentiated by a time period, for example, the corresponding behavior event table may be divided by a unit of one day, or the corresponding behavior event table may be divided by a unit of one month, which may be specifically set according to the requirement, but is not limited thereto.

The behavior event information of the user in the user behavior event table may include information about the user participating in the behavior event, such as a location where the user participates in the behavior event, an object targeted by the user, a time of the user participating in, and so on.

In this embodiment, the terminal obtains the behavior event table to be processed to perform corresponding data processing based on the behavior event information of the user in the behavior event table, so that analysis efficiency of the user behavior can be improved.

102. Determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types.

The entity screening conditions are used for screening the entities from the behavior event table, and the corresponding entity screening conditions can be determined according to the behavior event table because the entities involved in different behavior events are different, so that the entities are screened from the behavior event table based on the corresponding entity screening conditions.

In addition, the entity screening condition may further include an entity screening rule to screen the entity meeting the entity screening rule from the behavior event table, where the entity screening rule may be to further screen the entity in the behavior event table, for example, the entity screening rule may define a time for screening the entity, for example, to screen the entity from the behavior event table within a certain period of time.

Specifically, the determining the entity screening condition corresponding to the behavior event table may include: the terminal can acquire the user behavior type corresponding to the behavior event table so as to determine the entity screening condition corresponding to the behavior event table from a preset screening condition template based on the user behavior type.

For example, if the user behavior type is a shopping type, the entity screening condition is used to screen a user entity, a store entity, and a commodity entity, where the user entity is a user identifier currently shopping, the user identifier may be a user ID, the store entity is a store identifier currently shopping, the store identifier may be a store ID, the commodity entity is a commodity identifier currently shopping, and the commodity identifier may be a commodity ID.

Specifically, the determining the entity screening condition corresponding to the behavior event table may include: the terminal may display a screening condition editing page in response to a screening trigger event to the behavior event table, where the screening condition editing page includes at least one type of screening condition editing control. Then, the terminal may determine an entity screening rule in the corresponding entity screening conditions in response to a target editing operation of a target screening condition editing control in at least one type of screening condition editing control, so as to use entity screening information indicated by the target editing operation as an entity screening condition corresponding to the behavior event table.

The screening trigger event of the behavior event table may be an event generated by directly performing a touch operation on the behavior event table, such as a click operation, a sliding operation, a shortcut key operation, etc.; the screening trigger event of the behavior event table may be an event generated by a trigger operation of a screening control associated with the behavior event table.

The screening condition editing control may include, but is not limited to, a time condition editing control, a region condition editing control, a user information condition editing control, a commodity type condition editing control, etc., and may be specifically set according to the requirement, which is not limited herein.

Specifically, the time condition editing control is used for editing a time period to screen an entity corresponding to the time period from the behavior event table; the regional condition editing control is used for editing the transaction region so as to screen entities corresponding to the transaction region from the behavior event table; the user information condition editing control is used for editing user information, so as to screen entities under corresponding user information from the behavior event table, wherein the user information can be information such as gender, age group and the like; the commodity type condition editing control is used for editing commodity types so as to screen entities corresponding to the commodity types from the behavior event table.

In some embodiments, the filtering condition editing control includes filtering sub-controls with at least two different filtering values, the responding to the target editing operation of the target filtering condition editing control in the at least one type of filtering condition editing control, using the entity filtering information indicated by the target editing operation as the entity filtering condition corresponding to the behavior event table includes: and responding to the selection operation of a target sub-control in at least two screening sub-controls, and taking the target screening value indicated by the target sub-control as the entity screening condition corresponding to the behavior event table.

In this embodiment, the entity filtering information may be determined by a selection manner, for example, if the filtering condition editing control is a time condition editing control, the filtering sub-controls with different filtering values may be filtering sub-controls corresponding to different time periods, so as to select from the filtering sub-controls corresponding to different time periods, and the time period indicated by the selected filtering sub-control is used as the entity filtering condition corresponding to the behavior event table, so as to screen the entity in the time period from the behavior event table.

The entity dimension table is used for storing dimension tables of all entities, for example, the user entities screened from the behavior event table are stored in the user entity dimension table, for example, the user IDs in the behavior event table are stored in the entity dimension table, the store entities screened from the behavior event table are stored in the store entity dimension table, for example, the store IDs in the behavior event table are stored in the entity dimension table, and the commodity entities screened from the behavior event table are stored in the commodity entity dimension table, for example, the commodity IDs in the behavior event table are stored in the entity dimension table.

The entity filtering tag may be a filtering tag further configured according to an entity type of the entity dimension table, where the entity type of the entity dimension table is used to indicate user information, and the tag may be tag information corresponding to a preset active user, for example, the number of user transactions exceeds a preset number of times; for another example, the entity type of the entity dimension table is used for indicating store information, and the tag can be tag information corresponding to a preset sales store, for example, the store transaction number in each region is the highest or the total store transaction amount is the highest; for another example, if the entity type of the entity dimension table is used to indicate the commodity information, the label may be label information corresponding to the hot-sell commodity, for example, the commodity transaction number exceeds the preset number.

In this embodiment, the terminal screens the entity dimension table of each entity of different types from the behavior event table, so as to continue to perform subsequent processing based on the entity dimension table, so as to improve analysis efficiency for user behavior.

In some embodiments, the entity screening conditions include at least one entity object tag; the entity screening is performed on the behavior event table based on the entity screening condition to obtain at least two entity dimension tables after entity screening, including: and dividing the entities conforming to the entity object labels in the behavior event information of each user into a group from the behavior event table to obtain an entity dimension table corresponding to the screening object labels.

In this embodiment, the entity filtering conditions may include entity object tags determined according to entity filtering rules, or entity object tags configured by users, so that entities conforming to corresponding entity object tags are divided into a group, if the entity object tags are active user tags, then the entities conforming to the active user tags are divided into a group.

103. And receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information.

In this embodiment, the terminal may receive an entity grouping task instruction given by a user for different entity dimension tables, so as to perform entity screening on the entity dimension tables according to indication information in the entity grouping task instruction, and may screen the entity dimension tables according to entity screening tags configured in the entity dimension tables, for example, store tags configured in store entity dimension tables, so as to group entities in the store entity dimension tables based on the store tags, and may also perform entity screening on the first entity dimension tables across entity screening, that is, using target entity screening tags in the second entity dimension tables, so as to obtain screened entity information, where the entity information includes the number of screened entities, for example, using store tags configured in the store entity dimension tables to perform entity screening filtering on the user entity dimension tables, so as to obtain the number of user entities meeting the user requirements.

It can be understood that the first entity dimension table is a dimension table that needs to be physically screened currently, and the second entity dimension table is a dimension table that assists the first entity dimension table in physically screening.

In some embodiments, the entity grouping task instruction further indicates a target entity filtering tag corresponding to the first entity dimension table, so as to filter the current entity dimension table based on the tag configured by the current entity dimension table and the tag configured by other entity dimension tables. The entity screening of the first entity dimension table according to the target entity screening tag corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information may include: and the terminal performs entity screening on the first entity dimension table according to target entity screening labels respectively corresponding to the first entity dimension table and the second entity dimension table to obtain screened entity information.

In some embodiments, the first entity dimension table is further associated with a target chart, and after obtaining the filtered entity information, the method may further include: and displaying the screened entity information in a corresponding display mode according to the target chart associated with the first entity dimension table. The target chart can be displayed in a column diagram, a line diagram and the like, and in order to facilitate the user to view, historical entity information can be displayed in the target icon, so that the screened entity information is displayed, and meanwhile, the historical entity information is displayed, so that the user can view in a contrasting manner.

From the above, it can be seen that, by acquiring a behavior event table to be processed, the behavior event table includes behavior event information corresponding to a plurality of users, and the behavior event information includes at least one entity associated with the behavior of the users; determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types; and receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information, so that analysis efficiency of user behaviors is improved.

In order to better implement the above method, the embodiment of the present application further provides a data processing apparatus, where the data processing apparatus may be specifically integrated into an electronic device, for example, a computer device, where the computer device may be a terminal, a server, or other devices.

The terminal can be a mobile phone, a tablet personal computer, an intelligent Bluetooth device, a notebook computer, a personal computer and other devices; the server may be a single server or a server cluster composed of a plurality of servers.

For example, in this embodiment, a method of an embodiment of the present application will be described in detail by taking a specific integration of a data processing apparatus into a terminal as an example, and this embodiment provides a data processing apparatus, as shown in fig. 2, where the data processing apparatus may include:

An obtaining module 201, configured to obtain a behavior event table to be processed, where the behavior event table includes behavior event information corresponding to a plurality of users, and the behavior event information includes at least one entity associated with a behavior of a user;

the condition determining module 202 is configured to determine an entity screening condition corresponding to the behavior event table, perform entity screening on the behavior event table based on the entity screening condition, and obtain at least two entity dimension tables after entity screening, where the at least two entity dimension tables include a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types;

And the screening module 203 is configured to receive an entity grouping task instruction for the first entity dimension table, and perform entity screening on the first entity dimension table according to a target entity screening tag corresponding to the second entity dimension table indicated in the entity grouping task instruction, so as to obtain screened entity information.

The screening module 203 is specifically configured to:

the condition determining module 202 specifically is configured to:

As can be seen from the above, the data processing apparatus of this embodiment obtains a behavior event table to be processed, where the behavior event table includes behavior event information corresponding to a plurality of users, and the behavior event information includes at least one entity associated with a behavior of a user; determining entity screening conditions corresponding to the behavior event table, and carrying out entity screening on the behavior event table based on the entity screening conditions to obtain at least two entity dimension tables after entity screening, wherein the at least two entity dimension tables comprise a first entity dimension table and at least one second entity dimension table, and the first entity dimension table and the second entity dimension table are configured with corresponding entity screening labels according to entity types; and receiving an entity grouping task instruction aiming at the first entity dimension table, and carrying out entity screening on the first entity dimension table according to a target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction to obtain screened entity information, so that analysis efficiency of user behaviors is improved.

Correspondingly, the embodiment of the application also provides electronic equipment which can be a terminal, wherein the terminal can be terminal equipment such as a smart phone, a tablet Personal computer, a notebook computer, a touch screen, a game machine, a Personal computer (PC, personal Computer), a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA) and the like. Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 3. The electronic device 300 includes a processor 301 having one or more processing cores, a memory 302 having one or more computer-readable storage media, and a computer program stored on the memory 302 and executable on the processor. The processor 301 is electrically connected to the memory 302. It will be appreciated by those skilled in the art that the electronic device structure shown in the figures is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.

The processor 301 is a control center of the electronic device 300, connects various portions of the entire electronic device 300 using various interfaces and lines, and performs various functions of the electronic device 300 and processes data by running or loading software programs and/or modules stored in the memory 302, and invoking data stored in the memory 302, thereby performing overall monitoring of the electronic device 300.

In the embodiment of the present application, the processor 301 in the electronic device 300 loads the computer program corresponding to the process of one or more application programs into the memory 302 according to the following steps, and the processor 301 executes the application programs stored in the memory 302, so as to implement various functions:

The entity screening is performed on the first entity dimension table according to the target entity screening tag corresponding to the second entity dimension table indicated in the entity grouping task instruction, so as to obtain screened entity information, including:

The entity screening is performed on the behavior event table based on the entity screening condition to obtain at least two entity dimension tables after entity screening, including:

In some embodiments, the determining the entity screening condition corresponding to the behavior event table includes:

In some embodiments, the filtering condition editing control includes filtering sub-controls with at least two different filtering values, the responding to the target editing operation of the target filtering condition editing control in the at least one type of filtering condition editing control, using the entity filtering information indicated by the target editing operation as the entity filtering condition corresponding to the behavior event table includes:

In some embodiments, the first entity dimension table further includes a target chart, after obtaining the filtered entity information, further including:

Thus, the electronic device 300 provided in this embodiment may have the following technical effects: and the analysis efficiency of the user behavior is improved.

The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.

Optionally, as shown in fig. 3, the electronic device 300 further includes: a touch display 303, a radio frequency circuit 304, an audio circuit 305, an input unit 306, and a power supply 307. The processor 301 is electrically connected to the touch display 303, the radio frequency circuit 304, the audio circuit 305, the input unit 306, and the power supply 307, respectively. Those skilled in the art will appreciate that the electronic device structure shown in fig. 3 is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components.

The touch display 303 may be used to display a graphical user interface and receive operation instructions generated by a user acting on the graphical user interface. The touch display 303 may include a display panel and a touch panel. Wherein the display panel may be used to display information entered by a user or provided to a user as well as various graphical user interfaces of the electronic device, which may be composed of graphics, text, icons, video, and any combination thereof. Alternatively, the display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. The touch panel may be used to collect touch operations on or near the user (such as operations on or near the touch panel by the user using any suitable object or accessory such as a finger, stylus, etc.), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Alternatively, the touch panel may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 301, and can receive and execute commands sent from the processor 301. The touch panel may overlay the display panel, and upon detection of a touch operation thereon or thereabout, the touch panel is passed to the processor 301 to determine the type of touch event, and the processor 301 then provides a corresponding visual output on the display panel in accordance with the type of touch event. In the embodiment of the present application, the touch panel and the display panel may be integrated into the touch display screen 303 to realize the input and output functions. In some embodiments, however, the touch panel and the touch panel may be implemented as two separate components to perform the input and output functions. I.e. the touch-sensitive display 303 may also implement an input function as part of the input unit 306.

The radio frequency circuit 304 may be configured to receive and transmit radio frequency signals to and from a network device or other electronic device via wireless communication to and from the network device or other electronic device.

The audio circuit 305 may be used to provide an audio interface between a user and an electronic device through a speaker, microphone. The audio circuit 305 may transmit the received electrical signal after audio data conversion to a speaker, and convert the electrical signal into a sound signal for output by the speaker; on the other hand, the microphone converts the collected sound signals into electrical signals, which are received by the audio circuit 305 and converted into audio data, which are processed by the audio data output processor 301 for transmission to, for example, another electronic device via the radio frequency circuit 304, or which are output to the memory 302 for further processing. The audio circuit 305 may also include an ear bud jack to provide communication of the peripheral headphones with the electronic device.

The input unit 306 may be used to receive input numbers, character information, or user characteristic information (e.g., fingerprint, iris, facial information, etc.), and to generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control.

The power supply 307 is used to power the various components of the electronic device 300. Alternatively, the power supply 307 may be logically connected to the processor 301 through a power management system, so as to perform functions of managing charging, discharging, and power consumption management through the power management system. The power supply 307 may also include one or more of any components, such as a direct current or alternating current power supply, a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.

Although not shown in fig. 3, the electronic device 300 may further include a camera, a sensor, a wireless fidelity module, a bluetooth module, etc., which are not described herein.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

It will be appreciated by those of ordinary skill in the art that all or part of the steps of the various methods of the above embodiments may be performed by a computer program, or by computer program control related hardware, which may be stored in a computer readable storage medium and loaded and executed by a processor.

To this end, an embodiment of the present application provides a computer readable storage medium having stored therein a plurality of computer programs that can be loaded by a processor to perform any of the data processing methods provided by the embodiments of the present application. For example, the computer program may perform the steps of:

It can be seen that the computer program can be loaded by a processor to perform any of the data processing methods provided by the embodiments of the present application, thereby bringing about the following technical effects: and the analysis efficiency of the user behavior is improved.

Wherein the computer-readable storage medium may comprise: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.

Because the computer program stored in the computer readable storage medium can execute any data processing method provided by the embodiment of the present application, the beneficial effects that any data processing method provided by the embodiment of the present application can be achieved, and detailed descriptions of the foregoing embodiments are omitted herein.

The foregoing has described in detail a data processing method, apparatus, electronic device and computer readable storage medium according to embodiments of the present application, and specific examples have been applied to illustrate the principles and embodiments of the present application, where the foregoing examples are provided to assist in understanding the method and core idea of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, the present description should not be construed as limiting the present application.

Claims

1. A method of data processing, the method comprising:

2. The data processing method of claim 1, wherein the entity grouping task instruction further indicates a target entity screening tag corresponding to the first entity dimension table;

the entity screening is performed on the first entity dimension table according to the target entity screening label corresponding to the second entity dimension table indicated in the entity grouping task instruction, so as to obtain screened entity information, which comprises the following steps:

3. The data processing method of claim 1, wherein the entity screening conditions include at least one entity object tag;

the entity screening is performed on the behavior event table based on the entity screening condition to obtain at least two entity dimension tables after the entity screening, including:

4. The data processing method as claimed in claim 1, wherein said determining the entity screening condition corresponding to the behavior event table comprises:

5. The data processing method as claimed in claim 1, wherein said determining the entity screening condition corresponding to the behavior event table comprises:

6. The data processing method of claim 1, wherein the filtering condition editing control comprises filtering sub-controls with at least two different filtering values, and the responding to the target editing operation of the target filtering condition editing control in the at least one type of filtering condition editing control, taking the entity filtering information indicated by the target editing operation as the entity filtering condition corresponding to the behavior event table comprises:

7. The data processing method of claim 1, wherein the first entity dimension table is further associated with a target chart, and further comprising, after obtaining the filtered entity information:

8. A data processing apparatus, the apparatus comprising:

9. An electronic device comprising a processor and a memory, wherein the memory stores a computer program which, when executed by the processor, causes the processor to perform the data processing method of any of claims 1 to 7.

10. A computer readable storage medium, characterized in that it comprises a computer program for causing an electronic device to execute the data processing method according to any one of claims 1 to 7 when the computer program is run on the electronic device.