Interactive visual display method, device and equipment based on buried point interface and medium

By detecting and collecting buried point data, extracting and visualizing user behavior paths, focusing data and abnormal data, the problem of unintuitive processing of existing buried point data is solved, and data analysis efficiency and accuracy are improved.

CN119576730APending Publication Date: 2025-03-07创优数字科技(广东)有限公司
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Patent Information

Application Number
CN202411812039.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-03-07

AI Technical Summary

Technical Problem

The existing buried point data processing and display methods are not intuitive enough, it is difficult to obtain key information quickly and accurately, and it cannot be effectively verified, which affects in-depth analysis of user behavior and timely discover and solve problems in interface design.

Method used

By detecting the buried points triggered when the user interacts with the buried point interface, collecting the buried point data, extracting the target data corresponding to the interactive behavior, including the user's behavior path, focus data and abnormal data, and visually displaying it using the target display template selected by the user.

Benefits of technology

It realizes the ability of users to obtain key information intuitively, reduces the time for manually searching and analyzing data through focusing and display of abnormal data, and improves the efficiency and accuracy of data verification.

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Abstract

The invention discloses an interactive visual display method and device based on a buried point interface, equipment and a medium, and is used for solving the technical problems that an existing buried point data processing and display mode is often not visual enough, and key information is difficult to quickly and accurately obtain. The method comprises the following steps: when a user interacts with a buried point interface, detecting a buried point triggered by an interaction behavior; collecting burying point data through the burying points; extracting target data corresponding to the interaction behavior from the burying point data; extracting a user behavior path, focusing data and abnormal data from the target data; obtaining a target display template selected by a user; and displaying the target data, the user behavior path, the focusing data and the abnormal data by adopting the target display template.
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Description

Technical Field

[0001] The present invention relates to the field of point embedding technology, and in particular to an interactive visualization display method, device, equipment and medium based on a point embedding interface. Background Art

[0002] In today's digital age, the user experience of various applications and websites is crucial. In order to understand the interaction between users and the interface, point tracking technology is usually used to collect user behavior data.

[0003] However, existing methods of processing and displaying tracking data are often not intuitive enough, making it difficult to quickly and accurately obtain key information and unable to conduct effective verification. This not only affects the in-depth analysis of user behavior, but also makes it difficult to immediately discover and solve problems that may exist in interface design. Summary of the invention

[0004] The present invention provides an interactive visualization display method, device, equipment and medium based on a buried point interface, which is used to solve the technical problems that the existing buried point data processing and display methods are often not intuitive enough and it is difficult to quickly and accurately obtain key information.

[0005] The present invention provides an interactive visualization display method based on a buried point interface, comprising:

[0006] When users interact with the tracking interface, detect the tracking points triggered by the interactive behavior;

[0007] Collecting buried point data through the buried points;

[0008] Extracting target data corresponding to the interactive behavior from the buried data;

[0009] Extracting user behavior paths, focus data and abnormal data from the target data;

[0010] Get the target display template selected by the user;

[0011] The target display template is used to display the target data, the user behavior path, the focused data and the abnormal data.

[0012] Optionally, the step of extracting target data corresponding to the interaction behavior from the buried data includes:

[0013] Clean the collected buried point data to obtain cleaned data;

[0014] Filtering the cleaned data to obtain filtered data;

[0015] Formatting the filtered data according to a preset format to obtain formatted data;

[0016] Target data is extracted from the formatted data; the target data includes the user's operation path, operation frequency, and dwell time.

[0017] Optionally, when the user interacts with the tracking point interface, before the step of detecting the tracking point triggered by the interactive behavior, the step further includes:

[0018] Get the key elements and interaction flow of the preset interface;

[0019] Tracking points are set in the key elements and the interaction process to generate a tracking point interface.

[0020] Optionally, the step of extracting user behavior paths, focus data and abnormal data from the target data includes:

[0021] Obtaining the timestamp of each interaction behavior of the user;

[0022] Generate a user behavior path according to the interaction behavior and the corresponding timestamp;

[0023] Get the user's filter criteria;

[0024] Filtering the focused data from the target data according to the filtering condition; the filtering condition includes at least one of a time period, a user group, a version, an operation type, and a stay time range;

[0025] Obtaining an exception rule corresponding to the interactive behavior;

[0026] The abnormal rules are used to extract abnormal data from the target data.

[0027] The present invention also provides an interactive visualization display device based on a buried point interface, comprising:

[0028] The tracking point detection module is used to detect tracking points triggered by interactive behaviors when users interact with the tracking point interface;

[0029] A buried point data collection module, used to collect buried point data through the buried points;

[0030] A target data extraction module, used to extract target data corresponding to the interaction behavior from the buried data;

[0031] A user behavior path, focused data and abnormal data extraction module, used to extract user behavior paths, focused data and abnormal data from the target data;

[0032] A target display template selection module is used to obtain a target display template selected by a user;

[0033] A display module is used to display the target data, the user behavior path, the focused data and the abnormal data using the target display template.

[0034] Optionally, the target data extraction module includes:

[0035] The data cleaning submodule is used to clean the collected buried point data to obtain cleaned data;

[0036] A data filtering submodule, used for filtering the cleaned data to obtain filtered data;

[0037] A formatting submodule, used to format the filtered data according to a preset format to obtain formatted data;

[0038] The target data extraction submodule is used to extract target data from the formatted data; the target data includes the user's operation path, operation frequency, and dwell time.

[0039] Optionally, it also includes:

[0040] A key element and interaction process acquisition module is used to acquire key elements and interaction processes of a preset interface;

[0041] The tracking point setting module is used to set tracking points in the key elements and the interactive process and generate a tracking point interface.

[0042] Optionally, the user behavior path, focus data and abnormal data extraction module includes:

[0043] A timestamp acquisition submodule, used to acquire the timestamp of each interaction behavior of the user;

[0044] A user behavior path generation submodule, used to generate a user behavior path according to the interaction behavior and the corresponding timestamp;

[0045] The filtering condition acquisition submodule is used to obtain the user's filtering conditions;

[0046] A focused data screening submodule, used to screen focused data from the target data according to the screening conditions; the screening conditions include at least one of a time period, a user group, a version, an operation type, and a stay time range;

[0047] An abnormal rule acquisition submodule is used to acquire the abnormal rule corresponding to the interactive behavior;

[0048] The abnormal data extraction submodule is used to extract abnormal data from the target data using the abnormal rule.

[0049] The present invention also provides an electronic device, the device comprising a processor and a memory:

[0050] The memory is used to store program code and transmit the program code to the processor;

[0051] The processor is used to execute the interactive visualization display method based on the tracking interface as described in any of the above items according to the instructions in the program code.

[0052] The present invention also provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the interactive visualization display method based on the embedding point interface as described in any of the above items.

[0053] It can be seen from the above technical solutions that the present invention has the following advantages: The present invention provides an interactive visualization display method based on a buried point interface, and specifically discloses: when a user interacts with the buried point interface, the buried points triggered by the interactive behavior are detected; buried point data are collected through the buried points; target data corresponding to the interactive behavior is extracted from the buried point data; user behavior path, focus data and abnormal data are extracted from the target data; a target display template selected by the user is obtained; and the target display template is used to display the target data, the user behavior path, the focus data and the abnormal data. The present invention allows users to intuitively obtain key information by visually displaying target data, user behavior path, focus data and abnormal data, and by focusing on and displaying abnormalities in the data, the time for manual search and analysis of data is reduced, and the efficiency and accuracy of data verification are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0055] Figure 1 A flowchart of a method for interactive visualization display based on a tracking interface provided by an embodiment of the present invention;

[0056] Figure 2 A flowchart of a method for interactive visualization display based on a tracking interface provided by another embodiment of the present invention;

[0057] Figure 3 Provides a schematic diagram for displaying multi-dimensional data integration;

[0058] Figure 4 A structural block diagram of an interactive visualization display device based on a buried point interface provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The embodiments of the present invention provide an interactive visualization display method, device, equipment and medium based on a burial point interface, which are used to solve the technical problems that the existing burial point data processing and display methods are often not intuitive enough and it is difficult to quickly and accurately obtain key information.

[0060] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] See also Figure 1 , Figure 1 A flowchart of the steps of an interactive visualization display method based on a tracking interface is provided in an embodiment of the present invention.

[0062] The present invention provides an interactive visualization display method based on a buried point interface, which may specifically include the following steps:

[0063] Step 101, when a user interacts with a tracking point interface, detecting tracking points triggered by the interaction behavior;

[0064] Tracking is a term in the field of data collection (especially user behavior data collection), which refers to the relevant technologies and implementation processes for capturing, processing and sending specific user behaviors or events. The essence of tracking technology is to first monitor events during the operation of software applications, and then judge and capture events that require attention when they occur.

[0065] In an embodiment of the present invention, key elements and interaction processes for which data collection is required may be pre-tracked on a preset user interface, and whether the tracking is triggered may be determined by detecting the interaction behavior.

[0066] In one example, the operation behaviors collected by the key elements may include but are not limited to click, slide, input, etc. The data collected by the interaction process may include the type of user operation, the timestamp of the operation, the object of the operation, the identity information of the user, etc.

[0067] Step 102, collecting buried point data through buried points;

[0068] After the embedding point is triggered, the corresponding embedding point data can be collected through the embedding point.

[0069] Step 103, extracting target data corresponding to the interactive behavior from the buried data;

[0070] After collecting the buried data, the target data corresponding to the interactive behavior can be extracted from the buried data, such as the user's operation path, operation frequency, and dwell time.

[0071] Step 104, extracting user behavior paths, focus data and abnormal data from the target data;

[0072] After extracting the target data, the user behavior path, the focused data that the user focuses on, and the abnormal data that generates the abnormality can be analyzed based on the target data.

[0073] Step 105, obtaining the target display template selected by the user;

[0074] In an embodiment of the present invention, users can customize personalized visualization templates according to their own needs and preferences, such as selecting different chart combinations, color schemes, layout methods, etc., to adapt to different analysis scenarios and business needs.

[0075] Step 106, using a target display template to display target data, user behavior path, focus data and abnormal data.

[0076] After obtaining the target display template, the target data, user behavior path, focus data and abnormal data can be displayed through the target display template.

[0077] The present invention visualizes target data, user behavior paths, focused data and abnormal data, so that users can intuitively obtain key information. By focusing on and displaying abnormal data, the time for manual search and analysis of data is reduced, and the efficiency and accuracy of data verification are improved.

[0078] See also Figure 2 , Figure 2 A flowchart of a method for interactive visualization display based on a tracking interface provided by another embodiment of the present invention. Specifically, the following steps may be included:

[0079] Step 201, obtaining key elements and interaction flow of a preset interface;

[0080] Step 202, setting tracking points in key elements and interactive processes, and generating a tracking point interface;

[0081] In the embodiment of the present invention, tracking points can be set in key elements and interactive processes of the interface, including but not limited to button clicks, page browsing, input box operations, etc. Each tracking point is assigned a unique identifier and related attributes for subsequent data collection and analysis.

[0082] Step 203: When the user interacts with the tracking point interface, the tracking point triggered by the interactive behavior is detected;

[0083] In an embodiment of the present invention, key elements and interaction processes for which data collection is required may be pre-tracked on a preset user interface, and whether the tracking is triggered may be determined by detecting the interaction behavior.

[0084] Step 204, collecting buried point data through buried points;

[0085] After the embedding point is triggered, the corresponding embedding point data can be collected through the embedding point.

[0086] Step 205, extracting target data corresponding to the interactive behavior from the buried data;

[0087] After collecting the buried data, the target data corresponding to the interactive behavior can be extracted from the buried data, such as the user's operation path, operation frequency, and dwell time.

[0088] In one example, the step of extracting target data corresponding to the interaction behavior from the tracking data may include the following sub-steps:

[0089] S51, performing data cleaning on the collected buried point data to obtain cleaned data;

[0090] S52, filtering the cleaned data to obtain filtered data;

[0091] S53, formatting the filtered data according to a preset format to obtain formatted data;

[0092] S54, extracting target data from the formatted data; the target data includes the user's operation path, operation frequency, and dwell time.

[0093] Data cleaning is the process of checking data consistency and removing invalid and missing values ​​to improve data quality. The steps of data cleaning are as follows:

[0094] Check data consistency: Ensure that the collected data is consistent in key fields.

[0095] Handling invalid and missing values: Choose to delete data with missing values, delete variables, or use feature codes to represent missing values ​​based on actual needs.

[0096] Correct erroneous data: Find and correct errors in the collected data, such as numerical errors, date format errors, etc.

[0097] Data filtering refers to deleting data that is irrelevant to subsequent data processing. The objects of data filtering vary according to different operation behaviors, and the present invention does not limit the specific objects of filtering.

[0098] Data formatting refers to processing data according to certain rules and standards to make it conform to specific requirements or formats. The main purpose of data formatting is to facilitate the storage, transmission and processing of data and ensure the accuracy and consistency of data. Through data formatting, complex data structures can be simplified into standardized forms to facilitate subsequent data analysis and processing.

[0099] In an embodiment of the present invention, after the buried point data is collected, the buried point data can be cleaned, filtered and formatted, and then the generated formatted data can be integrated and analyzed to extract target data for subsequent analysis and processing. The target data can be the user's operation path, operation frequency, operation dwell time, etc.

[0100] After acquiring the target data, the target data can be stored in a high-performance data warehouse or database for fast query and analysis.

[0101] Step 206, extracting user behavior paths, focus data and abnormal data from the target data;

[0102] After extracting the target data, the user behavior path, the focused data that the user focuses on, and the abnormal data that generates the abnormality can be analyzed based on the target data.

[0103] In one example, the step of extracting user behavior paths, focus data, and abnormal data from target data may include the following sub-steps:

[0104] S61, obtaining the timestamp of each user's interactive behavior;

[0105] S62, generating a user behavior path according to the interaction behavior and the corresponding timestamp;

[0106] S63, obtaining the user's screening conditions;

[0107] S64, filtering the focused data from the target data according to the filtering condition; the filtering condition includes at least one of a time period, a user group, a version, an operation type, and a stay time range;

[0108] S65, obtaining an exception rule corresponding to the interactive behavior;

[0109] S66, extracting abnormal data from the target data using abnormal rules.

[0110] In a specific implementation, the timestamp of each user's interactive behavior can be obtained, and the user behavior path can be generated according to the interactive behavior and the corresponding timestamp.

[0111] In addition, the focused data can be filtered by filtering conditions set by the user. The filtering conditions may include operation type, stay time range, etc. The filtering conditions may also include conditions for filtering data for comparison, such as different time periods, different user groups, different versions of interface data, etc.

[0112] The present invention can also set thresholds and abnormal rules to extract abnormal data, and automatically detect and warn abnormal data (such as extremely high or low click frequency, too long or too short stay time, etc.).

[0113] Step 207, obtaining the target display template selected by the user;

[0114] In an embodiment of the present invention, users can customize personalized visualization templates according to their own needs and preferences, such as selecting different chart combinations, color schemes, layout methods, etc., to adapt to different analysis scenarios and business needs.

[0115] Step 208, using a target display template to display target data, user behavior path, focus data and abnormal data.

[0116] In the embodiment of the present invention, multiple types of target data from different embedding points can be integrated into a unified visualization interface corresponding to the target display template, and multiple dimensions of data can be displayed simultaneously through different chart types (such as bar charts, line charts, pie charts, Sankey charts, etc.), so that users can understand the overall picture of user behavior at a glance. Figure 3 The data in the interface can be updated in real time to ensure that users obtain the latest tracking data. Streaming data processing technology is used to achieve fast data loading and display, allowing users to observe the changing trends of user behavior in a timely manner.

[0117] Furthermore, the user behavior path can be visualized, showing the user's behavior path in the interface in a clear flowchart format, highlighting key nodes and conversion processes. Different line colors and thicknesses are used to indicate the flow and importance of the path, allowing users to quickly discover the user's mainstream behavior path and abnormal path.

[0118] In addition, it is also possible to display user-filtered and compared data to more accurately focus on specific user behaviors, and to highlight abnormal data in the interface with eye-catching colors (such as red) or special logos (such as flashing icons) to attract users' attention.

[0119] The present invention visualizes target data, user behavior paths, focused data and abnormal data, so that users can intuitively obtain key information. By focusing on and displaying abnormal data, the time for manual search and analysis of data is reduced, and the efficiency and accuracy of data verification are improved.

[0120] See also Figure 4 , Figure 4 A structural block diagram of an interactive visualization display device based on a buried point interface provided in an embodiment of the present invention.

[0121] The embodiment of the present invention provides an interactive visualization display device based on a buried point interface, including:

[0122] The embedding detection module 401 is used to detect embedding points triggered by the interaction behavior when the user interacts with the embedding interface;

[0123] The buried point data collection module 402 is used to collect buried point data through buried points;

[0124] The target data extraction module 403 is used to extract the target data corresponding to the interactive behavior from the buried data;

[0125] A user behavior path, focused data and abnormal data extraction module 404, used to extract user behavior paths, focused data and abnormal data from target data;

[0126] The target display template selection module 405 is used to obtain the target display template selected by the user;

[0127] The display module 406 is used to display target data, user behavior path, focus data and abnormal data using a target display template.

[0128] In the embodiment of the present invention, the target data extraction module 403 includes:

[0129] The data cleaning submodule is used to clean the collected buried point data to obtain cleaned data;

[0130] The data filtering submodule is used to filter the cleaned data to obtain filtered data;

[0131] The formatting submodule is used to format the filtered data according to a preset format to obtain formatted data;

[0132] The target data extraction submodule is used to extract target data from the formatted data; the target data includes the user's operation path, operation frequency, and dwell time.

[0133] In an embodiment of the present invention, it also includes:

[0134] A key element and interaction process acquisition module is used to acquire key elements and interaction processes of a preset interface;

[0135] The tracking point setting module is used to set tracking points in key elements and interactive processes and generate tracking point interfaces.

[0136] In the embodiment of the present invention, the user behavior path, focus data and abnormal data extraction module 404 includes:

[0137] The timestamp acquisition submodule is used to obtain the timestamp of each user's interactive behavior;

[0138] A user behavior path generation submodule is used to generate a user behavior path based on the interaction behavior and the corresponding timestamp;

[0139] The filtering condition acquisition submodule is used to obtain the user's filtering conditions;

[0140] A focused data screening submodule is used to screen focused data from target data according to screening conditions; the screening conditions include at least one of time period, user group, version, operation type, and stay time range;

[0141] The exception rule acquisition submodule is used to obtain the exception rules corresponding to the interactive behavior;

[0142] The abnormal data extraction submodule is used to extract abnormal data from the target data using abnormal rules.

[0143] An embodiment of the present invention further provides an electronic device, the device comprising a processor and a memory:

[0144] The memory is used to store the program code and transmit the program code to the processor;

[0145] The processor is used to execute the interactive visualization display method based on the tracking interface of an embodiment of the present invention according to the instructions in the program code.

[0146] An embodiment of the present invention also provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the interactive visualization display method based on the embedding point interface of an embodiment of the present invention.

[0147] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0148] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0149] It will be appreciated by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0150] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0151] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0152] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0153] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0154] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0155] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An interactive visualization display method based on a buried point interface, characterized in that: include: When users interact with the tracking interface, detect the tracking points triggered by the interactive behavior; Collecting buried point data through the buried points; Extracting target data corresponding to the interactive behavior from the buried data; Extracting user behavior paths, focus data and abnormal data from the target data; Get the target display template selected by the user; The target display template is used to display the target data, the user behavior path, the focused data and the abnormal data.

2. The method according to claim 1, characterized in that The step of extracting target data corresponding to the interactive behavior from the buried data includes: Clean the collected buried point data to obtain cleaned data; Filtering the cleaned data to obtain filtered data; Formatting the filtered data according to a preset format to obtain formatted data; Target data is extracted from the formatted data; the target data includes the user's operation path, operation frequency, and dwell time.

3. The method according to claim 1, characterized in that Before the step of detecting the tracking points triggered by the interactive behavior when the user interacts with the tracking point interface, the method further includes: Get the key elements and interaction flow of the preset interface; Tracking points are set in the key elements and the interaction process to generate a tracking point interface.

4. The method according to claim 1, characterized in that The step of extracting user behavior paths, focus data and abnormal data from the target data includes: Obtaining the timestamp of each interaction behavior of the user; Generate a user behavior path according to the interaction behavior and the corresponding timestamp; Get the user's filter criteria; Filtering the focused data from the target data according to the filtering condition; the filtering condition includes at least one of a time period, a user group, a version, an operation type, and a stay time range; Obtaining an exception rule corresponding to the interactive behavior; The abnormal rules are used to extract abnormal data from the target data.

5. An interactive visualization display device based on a buried point interface, characterized in that: include: The tracking point detection module is used to detect tracking points triggered by interactive behaviors when users interact with the tracking point interface; A buried point data collection module, used to collect buried point data through the buried points; A target data extraction module, used to extract target data corresponding to the interaction behavior from the buried data; A user behavior path, focused data and abnormal data extraction module, used to extract user behavior paths, focused data and abnormal data from the target data; A target display template selection module is used to obtain a target display template selected by a user; A display module is used to display the target data, the user behavior path, the focused data and the abnormal data using the target display template.

6. The device according to claim 5, characterized in that The target data extraction module comprises: The data cleaning submodule is used to clean the collected buried point data to obtain cleaned data; A data filtering submodule, used for filtering the cleaned data to obtain filtered data; A formatting submodule, used to format the filtered data according to a preset format to obtain formatted data; The target data extraction submodule is used to extract target data from the formatted data; the target data includes the user's operation path, operation frequency, and dwell time.

7. The device according to claim 5, characterized in that Also includes: A key element and interaction process acquisition module is used to acquire key elements and interaction processes of a preset interface; The tracking point setting module is used to set tracking points in the key elements and the interactive process and generate a tracking point interface.

8. The device according to claim 5, characterized in that The user behavior path, focus data and abnormal data extraction module includes: A timestamp acquisition submodule, used to acquire the timestamp of each interaction behavior of the user; A user behavior path generation submodule, used to generate a user behavior path according to the interaction behavior and the corresponding timestamp; The filtering condition acquisition submodule is used to obtain the user's filtering conditions; A focused data screening submodule, used to screen focused data from the target data according to the screening conditions; the screening conditions include at least one of a time period, a user group, a version, an operation type, and a stay time range; An abnormal rule acquisition submodule is used to acquire the abnormal rule corresponding to the interactive behavior; The abnormal data extraction submodule is used to extract abnormal data from the target data using the abnormal rule.

9. An electronic device, characterized in that: The device comprises a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the interactive visualization display method based on the buried point interface as described in any one of claims 1-4 according to the instructions in the program code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program code, and the program code is used to execute the interactive visualization display method based on the buried point interface described in any one of claims 1-4.