Visual data processing method, device, equipment and storage medium

Abstract

The application provides a visual data processing method and device, equipment and a storage medium. The method comprises the following steps: displaying at least one data processing model identifier corresponding to each of a plurality of metrics; in response to a selection operation on a first model identifier in the at least one data processing model identifier corresponding to a first metric, displaying at least one second sub-dimension identifier corresponding to a second sub-dimension in the at least one sub-dimension identifier corresponding to each of a plurality of dimensions in a preset manner; in response to a selection operation on a first sub-dimension identifier in the at least one sub-dimension identifier corresponding to a first dimension, displaying a first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier; and in response to a selection operation on the first parameter, processing data to be processed that meets the first parameter by using a data processing model corresponding to the first model identifier to obtain a data analysis result, and displaying the data analysis result. The method provided by the application is used to improve the matching of the data analysis result and the business scenario.

Description

Technical Field

[0001] This application relates to the field of visualization technology, and in particular to a visualization data processing method, apparatus, device and storage medium. Background Technology

[0002] Currently, visual data analysis tools (such as Tableau) can help users quickly analyze data, obtain analysis results, and visually present the analysis results to users.

[0003] In related technologies, visualization data analysis tools include multiple dimensions (such as time, region, etc.) or multiple measures (such as sales volume, device usage frequency, etc.). Multiple dimensions and multiple measures can be randomly combined together. The visualization data analysis tool can receive the user's selection operation of any one of the multiple dimensions and any one of the multiple measures, so that any dimension and measure can be combined together. Based on the selected dimensions and measures, the tool can quickly analyze the data, obtain the analysis results, and display the data analysis results.

[0004] In practical applications, when users cannot clearly understand the logical relationship between the dimensions and measures corresponding to the business scenario, they may arbitrarily select dimensions and measures, leading to problems such as misselection or incorrect selection, resulting in poor matching between data analysis results and business scenario. Summary of the Invention

[0005] This application provides a visualization data processing method, apparatus, device, and storage medium to solve the problem that when users cannot clearly understand the logical relationship between dimensions and measures corresponding to a business scenario, they may arbitrarily select dimensions and measures, leading to misselection or incorrect selection, resulting in poor matching between data analysis results and business scenarios.

[0006] In a first aspect, an embodiment of this application provides a visualization data processing method, comprising:

[0007] Display at least one data processing model identifier corresponding to each of the multiple metrics;

[0008] In response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, at least one second sub-dimensional identifier corresponding to the second dimension in at least one sub-dimensional identifier corresponding to each of multiple dimensions is displayed in a preset manner; the preset manner indicates that selection operation on the dimension or metric is prohibited; the first metric and the second dimension belong to different business scenarios;

[0009] In response to the selection operation of the first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, the first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier is displayed; the first dimension and the first metric belong to the same business scenario;

[0010] In response to the selection operation of the first parameter, the data processing model corresponding to the first model identifier is used to process the data to be processed that meets the first parameter, obtain the data analysis results, and display the data analysis results.

[0011] In some embodiments, in response to a selection operation of a first model identifier among at least one data processing model identifier corresponding to a first metric, at least one second sub-dimension identifier corresponding to a second dimension among at least one sub-dimension identifier corresponding to each of multiple dimensions is displayed in a preset manner, including:

[0012] In response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, the second dimension is determined according to the first model identifier and the first preset relationship, and at least one second sub-dimension identifier corresponding to the second dimension is displayed in a preset manner; wherein, the first preset relationship includes the first model identifier and the correspondence with the second dimension.

[0013] In some embodiments, after a selection operation on a first model identifier from at least one data processing model identifier corresponding to a first metric, the method further includes:

[0014] Based on the first model identifier and the second preset relationship, a second metric belonging to a different business scenario from the first metric is determined, and at least one data processing model identifier corresponding to the second metric is displayed in a preset manner; the second preset relationship includes the correspondence between the first model identifier and the second metric.

[0015] Based on the first model identifier and the third preset relationship, other processing model identifiers that do not match the first model identifier are determined from at least one data processing model identifier corresponding to the first metric, and the other processing model identifiers are displayed in a preset manner; the second preset relationship includes the correspondence between the first model identifier and other processing model identifiers.

[0016] In some embodiments, after a selection operation on a first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, the method further includes:

[0017] Based on the first sub-dimension identifier and the fourth preset relationship, determine the third metric that belongs to a different business scenario from the first dimension, and display at least one sub-dimension identifier corresponding to the third metric in a preset manner; the fourth preset relationship includes the correspondence between the first sub-dimension identifier and the third metric.

[0018] Based on the first sub-dimension identifier and the fifth preset relationship, other sub-dimension identifiers that do not match the first sub-dimension identifier are determined from at least one sub-dimension identifier corresponding to the first dimension, and the other sub-dimension identifiers are displayed in a preset manner; the fifth preset relationship includes the correspondence between the first sub-dimension identifier and other sub-dimension identifiers.

[0019] In some embodiments, at least one data processing model identifier corresponding to each of the multiple metrics is displayed, including:

[0020] Display device group interface; The display device group interface includes at least one selection control corresponding to a device group;

[0021] In response to a selection operation on the selection control corresponding to the target device group in at least one device group, at least one data processing model identifier corresponding to each of the multiple metrics is displayed in the metric selection interface.

[0022] In some embodiments, the method includes:

[0023] In response to the selection of a first display mode among multiple preset display modes, the data analysis results are displayed according to the first display mode.

[0024] Secondly, this application provides a visualization data processing apparatus, comprising:

[0025] The display module is used to display at least one data processing model identifier corresponding to each of the multiple metrics;

[0026] The response module is used to respond to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, and to display at least one second sub-dimensional identifier corresponding to the second dimension in at least one sub-dimensional identifier corresponding to each of the multiple dimensions in a preset manner; the preset manner indicates that the selection operation on the dimension or metric is prohibited; the first metric and the second dimension belong to different business scenarios;

[0027] The response module is also used to respond to the selection operation of the first sub-dimension identifier in at least one sub-dimension identifier corresponding to the first dimension, and to display the first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier; the first dimension and the first metric belong to the same business scenario;

[0028] The response module is also used to respond to the selection operation of the first parameter, use the first model identifier to identify the corresponding data processing model, process the data to be processed that meets the first parameter, and obtain the data analysis results.

[0029] The display module is also used to display data analysis results.

[0030] In some embodiments, the response module is specifically used for:

[0031] In response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, the second dimension is determined according to the first model identifier and the first preset relationship, and at least one second sub-dimension identifier corresponding to the second dimension is displayed in a preset manner; wherein, the first preset relationship includes the first model identifier and the correspondence with the second dimension.

[0032] In some embodiments, the response module is further configured to, in response to a selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, determine a second metric belonging to a different business scenario from the first metric based on the first model identifier and a second preset relationship.

[0033] The display module is also used to display at least one data processing model identifier corresponding to the second metric in a preset manner; the second preset relationship includes the correspondence between the first model identifier and the second metric.

[0034] The response module is also used to determine, based on the first model identifier and the third preset relationship, other processing model identifiers that do not match the first model identifier from at least one data processing model identifier corresponding to the first metric;

[0035] The display module is also used to display other processing model identifiers according to a preset method; the second preset relationship includes the correspondence between the first model identifier and other processing model identifiers.

[0036] In some embodiments, the response module is further configured to, after responding to the selection operation of the first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, determine a third metric that belongs to a different business scenario from the first dimension based on the first sub-dimension identifier and a fourth preset relationship;

[0037] The display module is also used to display at least one sub-dimension identifier corresponding to the third metric in a preset manner; the fourth preset relationship includes the correspondence between the first sub-dimension identifier and the third metric.

[0038] The response module is also used to determine, based on the first sub-dimension identifier and the fifth preset relationship, other sub-dimension identifiers that do not match the first sub-dimension identifier from at least one sub-dimension identifier corresponding to the first dimension;

[0039] The display module is also used to display other sub-dimension identifiers according to a preset method; the fifth preset relationship includes the correspondence between the first sub-dimension identifier and other sub-dimension identifiers.

[0040] In some embodiments, the display module is specifically used to display a device group interface; the device group interface includes at least one selection control corresponding to a device group.

[0041] The response module is also used to respond to the selection operation of the selection control corresponding to the target device group in at least one device group, and to display at least one data processing model identifier corresponding to each of the multiple metrics in the metric selection interface.

[0042] In some embodiments, the response module is further configured to respond to the selection operation of a first display mode among a plurality of preset display modes, and display the data analysis results according to the first display mode.

[0043] Thirdly, embodiments of this application provide an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0044] The memory stores instructions that the computer executes;

[0045] The processor executes computer-executable instructions stored in memory to implement the method as described in any of the first aspects.

[0046] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any of the first aspects.

[0047] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the method as described in any of the first aspects.

[0048] This application provides a visualization data processing method, apparatus, device, and storage medium. The method includes: displaying at least one data processing model identifier corresponding to each of multiple measures; responding to a selection operation on a first model identifier among the at least one data processing model identifiers corresponding to a first measure, displaying at least one second sub-dimension identifier corresponding to a second dimension among the at least one sub-dimension identifiers corresponding to multiple dimensions according to a preset method; the preset method indicates that selection operations on dimensions or measures are prohibited; the first measure and the second dimension belong to different business scenarios; responding to a selection operation on a first sub-dimension identifier among the at least one sub-dimension identifiers corresponding to the first dimension, displaying a first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier; the first dimension and the first measure belong to the same business scenario; responding to a selection operation on the first parameter, using the data processing model corresponding to the first model identifier to process the data to be processed that satisfies the first parameter, obtaining data analysis results, and displaying the data analysis results. The visualization data processing method, apparatus, device, and storage medium provided in this application are used to improve the matching between data analysis results and business scenarios. Attached Figure Description

[0049] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0050] Figure 1 A flowchart of the visualization data processing method provided in the embodiments of this application;

[0051] Figure 2 A schematic diagram of a measurement selection interface provided in an embodiment of this application;

[0052] Figure 3 A schematic diagram of a dimension selection interface provided in an embodiment of this application;

[0053] Figure 4 A schematic diagram of a filter interface provided in an embodiment of this application;

[0054] Figure 5 A schematic diagram of a worksheet display interface provided in an embodiment of this application;

[0055] Figure 6 A schematic diagram of a device group interface provided in an embodiment of this application;

[0056] Figure 7 Schematic diagram of the structure of the visualization data processing device provided in the embodiments of this application Figure 1 ;

[0057] Figure 8 A hardware schematic diagram of an electronic device provided in an embodiment of this application.

[0058] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0059] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0060] In related technologies, visual data analysis tools can receive user selections of any one of multiple dimensions and any one of multiple measures, allowing for the combination of any dimension and measure. Based on the selected dimensions and measures, the tool can quickly analyze the data, obtain analysis results, and display the results. However, in practical applications, when users do not clearly understand the logical relationships between dimensions and measures relevant to their business scenario, they may arbitrarily select dimensions and measures, leading to misselection or incorrect selection, resulting in poor matching between the data analysis results and the business scenario.

[0061] In this application, in order to avoid problems such as misselection or incorrect selection and to improve the matching of data analysis results with business scenarios, the inventors conceived of a method that, after the visualization data analysis tool receives a metric selected by the user, displays dimensions that do not match the selected metric in a preset manner, thereby avoiding problems such as misselection or incorrect selection and improving the matching of data analysis results with business scenarios.

[0062] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0063] Figure 1 A flowchart illustrating the visualization data processing method provided in this application embodiment. For example... Figure 1 As shown, the method includes:

[0064] S101 displays at least one data processing model identifier corresponding to each of the multiple metrics.

[0065] Optionally, the execution subject of this application embodiment can be an electronic device or a visualization data processing device installed in the electronic device. The visualization data processing device can be implemented through a combination of software and / or hardware.

[0066] Optionally, the measurement selection interface may display at least one data processing model identifier corresponding to each of the multiple measurements. Figure 2 This is a schematic diagram of a measurement selection interface provided in an embodiment of this application. Figure 2 As shown, the metric selection interface includes: multiple metrics, and at least one data processing model identifier for each metric. Each data processing model identifier indicates a data processing model.

[0067] Optionally, multiple metrics may include: metric 1, metric 2, metric 3, and metric 4, etc. For example, metric 1 may be the number of devices installed, and metric 3 may be the power consumption.

[0068] Optionally, at least one data processing model identifier corresponding to metric 3 includes model 31 and model 32. For example, when metric 3 is power consumption, model 31 indicates a power consumption probability distribution data processing model, and model 32 indicates an average power consumption data processing model.

[0069] Optionally, multiple metrics can be divided into multiple metric categories. For example, metric category 1 could be metric category 1, metric category 2, etc. metric category 1 could be sales, and metric category 2 could be laundry.

[0070] S102, in response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, at least one second sub-dimensional identifier corresponding to the second dimension in at least one sub-dimensional identifier corresponding to each of the multiple dimensions is displayed in a preset manner; the preset manner indicates that the selection operation on the dimension or metric is prohibited; the first metric and the second dimension belong to different business scenarios.

[0071] The first model identifier is the identifier selected during the selection operation.

[0072] Optionally, the number of first model identifiers can be one or more.

[0073] Optionally, the dimension selection interface may display at least one sub-dimension identifier corresponding to each of the multiple dimensions.

[0074] Optionally, at least one second sub-dimension identifier corresponding to the second dimension can be displayed in the dimension selection interface according to a preset method. Figure 3 This is a schematic diagram of a dimension selection interface provided in an embodiment of this application. Figure 3 As shown, the dimension selection interface includes: multiple dimensions, and at least one sub-dimension identifier for each dimension. Each sub-dimension identifier indicates one sub-dimension.

[0075] Optionally, multiple dimensions may include dimension 1, dimension 2, dimension 3, and dimension 4, etc. For example, dimension 1 could be location, and dimension 2 could be time.

[0076] Optionally, at least one sub-dimension identifier corresponding to dimension 1 includes sub-dimension 11, sub-dimension 12 and sub-dimension 13, and at least one sub-dimension identifier corresponding to dimension 2 includes sub-dimension 21, sub-dimension 22 and sub-dimension 23.

[0077] For example, when dimension 1 is a location, sub-dimension 11 indicates a province, sub-dimension 12 indicates a city, and sub-dimension 13 indicates a district or county.

[0078] For example, when dimension 2 is time, sub-dimension 21 indicates the year, sub-dimension 22 indicates the month, and sub-dimension 23 indicates the day.

[0079] Optionally, multiple dimensions can be divided into multiple dimensional categories. For example, multiple dimensional categories may include dimensional category 1 and dimensional category 2.

[0080] Optionally, the default settings can be grayed out, or the display can be disabled.

[0081] For example, when the preset mode is grayed out, the electronic device displays... Figure 2 When the interface shown is displayed, if a selection operation for model 21 (first model identifier) ​​is received, the electronic device will display... Figure 3 When the interface is shown, at least one second sub-dimension identifier (including sub-dimension 41, sub-dimension 42, and sub-dimension 43) corresponding to the second dimension (e.g., dimension 4) that belongs to a different business scenario than the first metric is grayed out (e.g., ...). Figure 3 (As shown).

[0082] In some embodiments, S102 specifically includes: in response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, determining the second dimension according to the first model identifier and the first preset relationship, and displaying at least one second sub-dimension identifier corresponding to the second dimension in a preset manner; wherein, the first preset relationship includes the first model identifier and the correspondence with the second dimension.

[0083] S103, in response to the selection operation of the first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, the first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier is displayed; the first dimension and the first metric belong to the same business scenario.

[0084] The first sub-dimension identifier is the identifier selected by the selection operation.

[0085] Optionally, the number of first sub-dimension identifiers can be one or more.

[0086] Optionally, the first parameter corresponding to the subdimension indicated by the first subdimension identifier can be displayed in the filter interface. Figure 4 This is a schematic diagram of a filter interface provided in an embodiment of this application. When the first sub-dimension identifier includes sub-dimension 11, sub-dimension 21, and sub-dimension 31, as shown... Figure 4 As shown, the filter interface includes: the first parameter 111 corresponding to sub-dimension 11, the first parameter 211 corresponding to sub-dimension 21, and the first parameters 311 and 312 corresponding to sub-dimension 31.

[0087] It should be noted that, Figure 4 This example illustrates the concept using sub-dimension 11 indicating the province, sub-dimension 21 indicating the year, and sub-dimension 31 indicating the washing procedure.

[0088] For example, in Figure 4In the interface shown, sub-dimension 11 can also indicate the city and district, and sub-dimension 21 can also indicate the month and day.

[0089] S104, in response to the selection operation of the first parameter, the data processing model corresponding to the first model identifier is used to process the data to be processed that satisfies the first parameter, obtain the data analysis results, and display the data analysis results.

[0090] For example, when the data processing model is a total equipment sales data processing model, and the first parameter includes Shandong Province and the period from January 2020 to December 2020, the daily sales volume of equipment in Shandong Province between January 2020 and December 2020 can be obtained from the database. Then, the daily sales volume of equipment in Shandong Province between January 2020 and December 2020 can be processed using the total equipment sales data processing model to obtain the data analysis results (i.e., total equipment sales).

[0091] Optionally, the data analysis results can be displayed in the worksheet display interface.

[0092] Figure 5 This is a schematic diagram of a worksheet display interface provided in an embodiment of this application. Figure 5 As shown, the worksheet display interface includes: multiple preset display modes, a selected results area, and the generated data analysis results.

[0093] For example, several preset display modes include: line chart, bar chart, pie chart, etc.

[0094] The selected results area includes: device group name, first model identifier (e.g., model 21, model 41), first sub-dimension identifier (sub-dimension 11), and the first parameter selected in the filter.

[0095] exist Figure 1In the visualization data processing method provided in the embodiment, in response to the selection operation of the first model identifier among at least one data processing model identifier corresponding to the first metric, at least one second sub-dimensional identifier corresponding to the second dimension among at least one sub-dimensional identifier corresponding to each of multiple dimensions is displayed in a preset manner. The preset manner indicates that selection operations on dimensions or metrics are prohibited. The first metric and the second dimension belong to different business scenarios, which can avoid the problem of users arbitrarily selecting dimensions and metrics when they cannot clearly understand the logical relationship between dimensions and metrics corresponding to business scenarios, resulting in misselection or incorrect selection. Furthermore, in response to the selection operation of the first sub-dimensional identifier among at least one sub-dimensional identifier corresponding to the first dimension, the first parameter corresponding to the sub-dimensional indicated by the first sub-dimensional identifier is displayed; the first dimension and the first metric belong to the same business scenario; in response to the selection operation of the first parameter, the data processing model corresponding to the first model identifier is used to process the data to be processed that meets the first parameter, obtain data analysis results, and display the data analysis results, thereby improving the matching of data analysis results with business scenarios and avoiding the problem of no data analysis results.

[0096] Furthermore, in this application, the user's sequential selection of the first model identifier, the first sub-dimension identifier, and the first parameter pair enables the electronic device to display the data analysis results, reducing the user's learning cost and making the operation easier.

[0097] In some embodiments, after S104, the visualization data processing method provided in this embodiment further includes: in response to the selection operation of a first display mode among a plurality of preset display modes, displaying the data analysis results according to the first display mode.

[0098] For example, the first display mode can be multiple preset display modes (such as...). Figure 5 Any one of the ones shown.

[0099] For example, if the first display method is a line chart, the data analysis results can be displayed in the same way as a line chart.

[0100] In this application, in response to the selection operation of a first display mode among multiple preset display modes, the data analysis results are displayed according to the first display mode, which can make the display mode of the data analysis results flexible and diverse, and improve the user experience.

[0101] In some embodiments, S101 specifically includes: displaying a device group interface; the display device group interface includes at least one selection control corresponding to a device group;

[0102] In response to a selection operation on the selection control corresponding to the target device group in at least one device group, at least one data processing model identifier corresponding to each of the multiple metrics is displayed in the metric selection interface.

[0103] Figure 6 This is a schematic diagram of a device group interface provided in an embodiment of this application. Figure 6 As shown, the device group interface includes multiple selection controls 60 corresponding to each device group.

[0104] For example, equipment group 1 can perform drum washing, while equipment group 2 can perform pulsator washing.

[0105] In practical applications, when a user selects the corresponding selection control 60 for a device group, the measurement selection interface displays at least one data processing model identifier corresponding to each of the multiple measurements.

[0106] In some embodiments, after a selection operation on a first model identifier from at least one data processing model identifier corresponding to a first metric, the method further includes:

[0107] Based on the first model identifier and the second preset relationship, a second metric belonging to a different business scenario from the first metric is determined, and at least one data processing model identifier corresponding to the second metric is displayed in a preset manner; the second preset relationship includes the correspondence between the first model identifier and the second metric.

[0108] Based on the first model identifier and the third preset relationship, other processing model identifiers that do not match (i.e. are mutually exclusive) with the first model identifier are determined from at least one data processing model identifier corresponding to the first metric, and the other processing model identifiers are displayed in a preset manner; the second preset relationship includes the correspondence between the first model identifier and other processing model identifiers.

[0109] In this application, displaying at least one data processing model identifier corresponding to a second metric that does not match the first metric, and other processing model identifiers among the at least one data processing model identifiers corresponding to the first metric that do not match the first model identifier, can prevent users from arbitrarily selecting multiple data processing model identifiers. This would prevent the data analysis results obtained after the data processing models indicated by multiple data processing model identifiers process the data to be processed that meets the first parameter from being displayed in the same coordinate system.

[0110] In some embodiments, after a selection operation on a first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, the method further includes:

[0111] Based on the first sub-dimension identifier and the fourth preset relationship, determine the third metric that belongs to a different business scenario from the first dimension, and display at least one sub-dimension identifier corresponding to the third metric in a preset manner; the fourth preset relationship includes the correspondence between the first sub-dimension identifier and the third metric.

[0112] Based on the first sub-dimension identifier and the fifth preset relationship, other sub-dimension identifiers that do not match the first sub-dimension identifier are determined from at least one sub-dimension identifier corresponding to the first dimension, and the other sub-dimension identifiers are displayed in a preset manner; the fifth preset relationship includes the correspondence between the first sub-dimension identifier and other sub-dimension identifiers.

[0113] In this application, at least one sub-dimension identifier corresponding to the third metric (which belongs to a different business scenario than the first dimension) and other sub-dimension identifiers that do not match the first sub-dimension identifier are displayed in a preset manner. This can avoid the problem that users can arbitrarily select multiple sub-dimension identifiers, making it impossible to display data analysis results according to multiple sub-dimension identifiers in the same coordinate system, and improve the matching between multiple sub-dimension identifiers arbitrarily selected by users.

[0114] Figure 7 Schematic diagram of the structure of the visualization data processing device provided in the embodiments of this application Figure 1 .like Figure 7 As shown, the visualization data processing device 10 includes:

[0115] Display module 11 is used to display at least one data processing model identifier corresponding to each of the multiple metrics;

[0116] Response module 12 is used to respond to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, and to display at least one second sub-dimensional identifier corresponding to the second dimension in at least one sub-dimensional identifier corresponding to each of the multiple dimensions in a preset manner; the preset manner indicates that the selection operation on the dimension or metric is prohibited; the first metric and the second dimension belong to different business scenarios;

[0117] The response module 12 is also used to respond to the selection operation of the first sub-dimension identifier in at least one sub-dimension identifier corresponding to the first dimension, and to display the first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier; the first dimension and the first metric belong to the same business scenario;

[0118] The response module 12 is also used to respond to the selection operation of the first parameter, use the first model identifier to identify the corresponding data processing model, process the data to be processed that meets the first parameter, and obtain the data analysis results.

[0119] Display module 11 is also used to display data analysis results.

[0120] The visualization data processing device provided in this application embodiment can execute the above-described visualization data processing method. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0121] In some embodiments, the response module 12 is specifically used for:

[0122] In response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, the second dimension is determined according to the first model identifier and the first preset relationship, and at least one second sub-dimension identifier corresponding to the second dimension is displayed in a preset manner; wherein, the first preset relationship includes the first model identifier and the correspondence with the second dimension.

[0123] In some embodiments, the response module 12 is further configured to, in response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, determine a second metric that belongs to a different business scenario from the first metric based on the first model identifier and the second preset relationship.

[0124] The display module 11 is also used to display at least one data processing model identifier corresponding to the second metric in a preset manner; the second preset relationship includes the correspondence between the first model identifier and the second metric.

[0125] The response module 12 is further configured to determine, based on the first model identifier and the third preset relationship, other processing model identifiers that do not match the first model identifier from at least one data processing model identifier corresponding to the first metric;

[0126] The display module 11 is also used to display other processing model identifiers according to a preset method; the second preset relationship includes the correspondence between the first model identifier and other processing model identifiers.

[0127] In some embodiments, the response module 12 is further configured to, after responding to the selection operation of the first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, determine a third metric that belongs to a different business scenario from the first dimension based on the first sub-dimension identifier and a fourth preset relationship.

[0128] The display module 11 is also used to display at least one sub-dimension identifier corresponding to the third metric in a preset manner; the fourth preset relationship includes the correspondence between the first sub-dimension identifier and the third metric.

[0129] The response module 12 is further configured to determine, based on the first sub-dimension identifier and the fifth preset relationship, other sub-dimension identifiers that do not match the first sub-dimension identifier from at least one sub-dimension identifier corresponding to the first dimension;

[0130] The display module 11 is also used to display other sub-dimension identifiers according to a preset method; the fifth preset relationship includes the correspondence between the first sub-dimension identifier and other sub-dimension identifiers.

[0131] In some embodiments, the display module 11 is specifically used to display a device group interface; the device group interface includes at least one selection control corresponding to a device group.

[0132] The response module 12 is also used to respond to the selection operation of the selection control corresponding to the target device group in at least one device group, and to display at least one data processing model identifier corresponding to each of the multiple metrics in the metric selection interface.

[0133] In some embodiments, the response module 12 is further configured to display the data analysis results in accordance with the first display mode in response to the selection operation of the first display mode among a plurality of preset display modes.

[0134] The visualization data processing device provided in this application embodiment can execute the above-described visualization data processing method. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0135] Figure 8 A hardware schematic diagram of the electronic device provided in an embodiment of this application. For example... Figure 8 As shown, electronic device 20 may include transceiver 21, memory 22 and memory 23.

[0136] The transceiver 21 may include a transmitter and / or a receiver. The transmitter may also be referred to as a transmitter, transmitter, transmitting port, or transmitting interface, etc. The receiver may also be referred to as a receiver, receiver, receiving port, or receiving interface, etc.

[0137] For example, the transceiver 21, memory 22, and memory 23 are interconnected via bus 24.

[0138] Memory 22 is used to store computer-executed instructions.

[0139] The memory 23 is used to execute computer execution instructions stored in the memory 22, so that the memory 23 performs the above-described visualization data processing method.

[0140] This application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the aforementioned visualization data processing method.

[0141] This application also provides a computer program product, including a computer program that, when executed by a processor, can implement the above-described visualization data processing method.

[0142] All or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable memory. When the program is executed, it performs the steps of the above method embodiments; and the aforementioned memory (storage medium) includes: read-only memory (ROM), RAM, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof.

[0143] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processing unit of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0144] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0145] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0146] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.

[0147] In this application, the term "comprising" and its variations can refer to non-limiting inclusion; the term "or" and its variations can refer to "and / or". The terms "first", "second", etc., in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. In this application, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0148] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0149] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for visualizing data processing, characterized in that, The method includes: Display at least one data processing model identifier corresponding to each of the multiple metrics; In response to a selection operation on a first model identifier among at least one data processing model identifier corresponding to a first metric, at least one second sub-dimensional identifier corresponding to the second dimension among at least one sub-dimensional identifier corresponding to each of multiple dimensions is displayed in a preset manner; the preset manner indicates that a selection operation on a dimension or metric is prohibited; the first metric and the second dimension belong to different business scenarios; In response to the selection operation of the first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, the first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier is displayed; the first dimension and the first metric belong to the same business scenario; In response to the selection operation of the first parameter, the data processing model corresponding to the first model identifier is used to process the data to be processed that satisfies the first parameter, obtain the data analysis results, and display the data analysis results; The step of responding to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, and displaying at least one second sub-dimension identifier corresponding to the second dimension in at least one sub-dimension identifier corresponding to each of multiple dimensions in a preset manner, includes: In response to the selection operation of the first model identifier in at least one data processing model identifier corresponding to the first metric, the second dimension is determined according to the first model identifier and the first preset relationship, and at least one second sub-dimension identifier corresponding to the second dimension is displayed in the preset manner; wherein, the first preset relationship includes the correspondence between the first model identifier and the second dimension.

2. The method according to claim 1, characterized in that, Following the selection operation of a first model identifier from at least one data processing model identifier corresponding to the first metric, the method further includes: Based on the first model identifier and the second preset relationship, a second metric belonging to a different business scenario from the first metric is determined, and at least one data processing model identifier corresponding to the second metric is displayed according to the preset method; the second preset relationship includes the correspondence between the first model identifier and the second metric. Based on the first model identifier and the third preset relationship, other processing model identifiers that do not match the first model identifier are determined from at least one data processing model identifier corresponding to the first metric, and the other processing model identifiers are displayed in accordance with the preset method; the second preset relationship includes the correspondence between the first model identifier and the other processing model identifiers.

3. The method according to any one of claims 1-2, characterized in that, Following the selection operation of the first sub-dimension identifier from at least one sub-dimension identifier corresponding to the first dimension, the method further includes: Based on the first sub-dimension identifier and the fourth preset relationship, a third metric belonging to a different business scenario from the first dimension is determined, and at least one sub-dimension identifier corresponding to the third metric is displayed according to the preset method; the fourth preset relationship includes the correspondence between the first sub-dimension identifier and the third metric. Based on the first sub-dimension identifier and the fifth preset relationship, other sub-dimension identifiers that do not match the first sub-dimension identifier are determined from at least one sub-dimension identifier corresponding to the first dimension, and the other sub-dimension identifiers are displayed according to the preset method; the fifth preset relationship includes the correspondence between the first sub-dimension identifier and the other sub-dimension identifiers.

4. The method according to any one of claims 1-2, characterized in that, The display of at least one data processing model identifier corresponding to each of the multiple metrics includes: Display device group interface; the display device group interface includes at least one selection control corresponding to a device group; In response to a selection operation of the selection control corresponding to the target device group in the at least one device group, at least one data processing model identifier corresponding to each of the multiple metrics is displayed in the metric selection interface.

5. The method according to any one of claims 1-2, characterized in that, The method includes: In response to the selection of a first display mode among multiple preset display modes, the data analysis results are displayed according to the first display mode.

6. A visualization data processing device, characterized in that, The device includes: The display module is used to display at least one data processing model identifier corresponding to each of the multiple metrics; The response module is used to respond to a selection operation on the first model identifier in at least one data processing model identifier corresponding to the first metric, and to display at least one second sub-dimensional identifier corresponding to the second dimension in at least one sub-dimensional identifier corresponding to each of the multiple dimensions in a preset manner; the preset manner indicates that a selection operation on the dimension or metric is prohibited; the first metric and the second dimension belong to different business scenarios; The response module is also configured to respond to a selection operation of the first sub-dimension identifier among at least one sub-dimension identifier corresponding to the first dimension, and display the first parameter corresponding to the sub-dimension indicated by the first sub-dimension identifier; the first dimension and the first metric belong to the same business scenario; The response module is also used to respond to the selection operation of the first parameter, use the data processing model corresponding to the first model identifier, process the data to be processed that satisfies the first parameter, and obtain the data analysis results. The display module is also used to display data analysis results; In response to a selection operation of a first model identifier among at least one data processing model identifier corresponding to a first metric, and displaying at least one second sub-dimension identifier corresponding to a second dimension among at least one sub-dimension identifiers corresponding to multiple dimensions in a preset manner, the response module is specifically configured to: in response to a selection operation of a first model identifier among at least one data processing model identifier corresponding to a first metric, determine the second dimension according to the first model identifier and a first preset relationship, and display at least one second sub-dimension identifier corresponding to the second dimension in the preset manner; wherein, the first preset relationship includes the correspondence between the first model identifier and the second dimension.

7. An electronic device, comprising: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-5.

9. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1-5.

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