WO2020253584A1 - Chart processing method and data processing method, and apparatuses - Google Patents

Abstract

Disclosed are a chart processing method and a data processing method, and apparatuses. The chart processing method comprises: generating a data chart according to source data, and displaying the data chart; determining target data in the data chart, and providing corresponding data operation options for the target data; determining, according to input information for operating the data operation options, a first adjustment amount by which the target data is adjusted; and changing the target data according to the first adjustment amount, and determining a target data change result. By means of the method, the functioning of the data chart can be enhanced, and the interactivity and applicability of the data chart can be increased, such that the data chart can be applied in a wider range of applications.

Description

Chart processing, data processing method and device

This application claims the priority of the Chinese patent application filed on June 18, 2019, with the application number 201910528180.3 and the invention title "Chart processing, data processing method and device", the entire content of which is incorporated into this application by reference.

Technical field

The present invention relates to the field of data visualization, in particular to a chart processing, data processing method and device.

Background technique

The main purpose of data visualization includes the use of graphical objects to express data, to intuitively and clearly express the characteristics of the data and the meaning of the data, making the data easier for users to understand. When performing graphical data visualization, various suitable graphical object shape elements can be used to present the characteristics or meaning of the data. For example, when the actual data is obtained, the characteristics or meaning of the data can be presented in the form of a chart come out. The generalized chart contains a variety of forms: pie charts, bar charts, line charts, distribution charts combined with coordinates or maps, etc. are all common forms. These data presentation forms usually include at least two dimensions, including an element dimension, which includes and identifies different data elements, and an attribute dimension, which identifies different attributes of data elements. Although in some expressions, the manifestation of dimensions is not so obvious. For example, in the form of pie chart, people usually pay more attention to the proportion of each component when using it, but in fact it still includes the element dimension and each The dimension determined by the attribute of element composition. The information contained in each dimension in the chart forms an information set.

In some practical applications, as the amount of data in the data source and the complexity of the data increase, the requirements for data visualization tasks in the form of charts and other methods are also increasing, such as the attribute information type of the data element that needs to be represented in the chart Increasingly, it is necessary to consider the reasonable and effective expression of multiple element data attributes when performing data visualization; when there is a certain association relationship between different data elements or data element attributes, it is also necessary in some application environments To express this association relationship between elements or attributes, etc., some changing trends in data visualization tasks make data visualization techniques and methods need to meet some new requirements, and new expressions and processing of data characteristics in data visualization are proposed. Among them, improving the interactivity and flexibility of data visualization is a problem that needs to be solved by those skilled in the art.

Summary of the invention

The embodiments of the present invention provide chart processing, data processing methods and devices, which can enhance the function of the data chart and increase the interactivity and applicability of the data chart.

The present invention provides the following solutions:

A chart processing method, including:

Generate a data chart according to the source data, and display the data chart;

Determine the target data in the data chart, and provide corresponding data operation options for the target data;

Determine the first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The target data is changed according to the first adjustment amount, and the target data change result is determined.

A data processing method, including:

Generate a data visualization data chart according to the source data, display the data chart and load the association relationship between independent variable data and dependent variable data; the data chart includes element information dimensions and attribute information dimensions;

Determine the independent variable data in the data chart, and provide corresponding data operation options for the independent variable data;

Determining an adjustment amount for adjusting the independent variable data according to the input information for operating the data operation option, and changing the independent variable data according to the adjustment amount;

Based on the association relationship, determine the corresponding dependent variable data that changes with the change of the independent variable data, and load the changed dependent variable data in the data chart.

A chart processing method, including:

Generate a data chart according to the first source data, and provide data operation options for the data chart; the operation options are used to adjust the target data in the data chart;

Determining an adjustment amount for adjusting the target data according to the input information for operating the data operation option;

According to the adjustment amount, the second source data is determined.

A chart processing device includes:

The chart generating unit is used to generate a data chart according to the source data and display the data chart;

The first operation option providing unit is used to determine the target data in the data chart and provide corresponding data operation options for the target data;

An adjustment amount determining unit, configured to determine a first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The target data changing unit is configured to change the target data according to the first adjustment amount to determine the target data change result.

A data processing device includes:

The chart establishment unit is configured to generate a data visualization data chart according to the source data, display the data chart and load the correlation between independent variable data and dependent variable data; the data chart includes element information dimensions and attribute information dimensions;

The second operation option providing unit is used to determine the independent variable data in the data chart and provide corresponding data operation options for the independent variable data;

The independent variable data adjustment unit determines the adjustment amount for adjusting the independent variable data according to the input information for operating the data operation option, and changes the independent variable data according to the adjustment amount;

The dependent variable update unit is configured to determine the corresponding dependent variable data that changes with the change of the independent variable data based on the association relationship, and load the changed dependent variable data in the data chart.

A chart processing device, including:

The chart processing unit is configured to generate a data chart according to the first source data and provide data operation options for the data chart; the operation options are used to adjust the target data in the data chart;

An adjustment amount processing unit, configured to determine an adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The result processing unit is configured to determine the second source data according to the adjustment amount.

A computer system including:

One or more processors; and

A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

Generate a data chart according to the source data, and display the data chart;

Determine the target data in the data chart, and provide corresponding data operation options for the target data;

Determine the first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The target data is changed according to the first adjustment amount, and the target data change result is determined.

According to the specific embodiments provided in this application, this application discloses the following technical effects:

Through this application, a data chart can be created and displayed based on the source data, the data operation options provided for the target data in the data chart, and the first adjustment amount for adjusting the target data can be determined according to the input information for operating the data operation options; The target data is changed according to the first adjustment amount, and the target data change result is determined. Thus, the data chart can not only reflect the characteristics of the source data, but also provide operation options with interactive functions. Users can operate the data objects in the data chart in a more intuitive way through the data operation options, such as graphical elements or values. Making changes can quickly and conveniently view the changed data characteristics in the data chart, enhance the function of the data chart, increase the interactivity and applicability of the data chart, and make the data chart can be used in a wider range of applications.

Further, the result of the change to the target data can also be fed back to the source data. Different from the data chart in the prior art that only faithfully reflects the data, the result of the change to the target data is fed back to the source data, which increases the flexibility of the interaction between the source data and the data chart, and provides a way to visualize the data through the chart. The way of manipulating the source data increases the user's ability to manipulate the source data, so that the data chart can not only be used to display the characteristics of the source data, but also the data chart has the potential for wider application.

Further, the method can also visualize the source data that has an association relationship between the data, and process the different types of association relationships in each dimension between the data in the established data chart, and the operated target data includes When the data has an association relationship with other data, it can realize the processing of the associated data while operating the target data, which greatly increases the flexibility and adaptability of data visualization application technology, and enables data visualization and data chart technology With stronger interaction capabilities, it also realizes the display and processing capabilities of relational data. Based on these capabilities, data charts can be applied to a wider range of fields.

Of course, implementing any product of this application does not necessarily need to achieve all the advantages described above at the same time.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, without creative work, other drawings can be obtained from these drawings.

FIG. 1 is a schematic diagram of an example of a data chart provided by an embodiment of the present application;

Figure 2 is a flowchart of the first method provided by an embodiment of the present application;

Fig. 3 is a schematic diagram of a data chart structure provided by an embodiment of the present application;

4 is a schematic diagram of data operation options provided by an embodiment of the present application;

FIG. 5 is a schematic diagram of operation prompt information provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of the first association relationship in the data chart provided by the embodiment of the present application;

FIG. 7 is a schematic diagram of the first constraint relationship in the data chart provided by the embodiment of the present application;

FIG. 8 is a flowchart of a second method provided by an embodiment of the present application;

FIG. 9 is a flowchart of a third method provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of a first device provided by an embodiment of the present application;

FIG. 11 is a schematic diagram of a second device provided by an embodiment of the present application;

Figure 12 is a schematic diagram of a third device provided by an embodiment of the present application;

Fig. 13 is a schematic diagram of a computer system provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art fall within the protection scope of the present invention.

When data visualization technology is used to express data, the chart established based on the source data can objectively reflect the characteristics or meaning of the data in the source data. For example, a certain form of chart can intuitively show the proportion of each element type, or in another One form of chart can show the distribution of different types of elements in a geographic area, and so on. Among them, various forms of charts are generated according to the data source, and faithfully display the meaning or characteristics of the constituent elements in the data source. However, with the increase in the importance of data in various businesses, and the increase in the amount of data to be processed and the complexity of the data in the visualization technology, the traditional reduction visualization technology has been difficult to meet application requirements and express the mutual relationship between data Relations and providing more interactivity in visualization charts have become a new demand and development direction in the field of data visualization technology. The embodiment of the application provides a data chart processing method, which can be applied to the field of data visualization technology. The technical problem to be solved by this method is not only to display the data source, but to realize the visual expression of complex relational data. , To achieve and improve the interactivity between the visual chart content and the user, the interactivity between the chart content and the data source, and further solve a number of technical problems on the basis of achieving better expression and interaction. This method can help users express complex data relationship characteristics in a dynamic data design process, and realize interactive operations in visual data, and can vividly reflect the interactive operation process and the data change process. This method can be applied to the technical realization of various project budget design, marketing planning, speech display, data deduction and analysis, etc., and has good application prospects.

In order to facilitate understanding, first introduce the related concepts of the method provided in the embodiments of the present application.

Data charts: In data visualization, data charts are used to intuitively display the characteristics or meaning of the data. In practical applications, data charts are not limited to a narrow two-dimensional table, but can include multiple types of charts, for example , Data charts that are frequently used include pie charts, bar charts, line charts, distribution coordinate charts, distribution charts combined with maps, and so on. As shown in Figure 1, it is a schematic diagram of different types of data charts. In Figure 1, (a) is a pie chart, (b) is a bar chart, and (c) is a line chart. These types of data charts are all Data charts that are often encountered in daily life.

Dimensions of the data chart: Generally, the data chart includes n dimensions, including at least two dimensions, namely, the element information dimension and the attribute information dimension. Among them, the element information included in the element information dimension can be individual objects, classified objects, etc., such as student A, consumables A, user type B, etc.; the attribute information dimension includes attribute information, which can be the physical of the element information object Attributes, statistical attributes, etc., such as height, consumable inventory, and the number of users who have participated in an event. The specific data corresponds to two dimensions. For example, "170cm" corresponds to the element information and attribute information in the two dimensions of "Student A" and "Height". It is easy to understand that this data represents the height of Student A. For another example, in material cost planning, different types of materials can form element information in the element information dimension, such as "cement", "PVC pipe", "network cable", etc.; the usage of a certain material, such as room A The amount of material used in the medium can be regarded as the attribute information of the attribute information dimension. The simulated chart structure and data are shown in Table 1:

Table 1

The data therein, for example, for the data of network cable usage "32(m)", the corresponding element information is "network cable", and the corresponding attribute information is "room A usage".

In summary, it can be seen that the attribute information corresponding to the specific data in the data chart should not be limited to the physical attribute of an object, and it can include statistical attributes and is mostly statistical attributes in practical applications. In addition, only by combining all relevant dimensions of the data can we understand the complete meaning of the data.

The method provided in this application will be described in detail below in conjunction with specific embodiments.

Example one

Please refer to FIG. 2, which is a flowchart of a chart processing method provided in Embodiment 1 of this application. As shown in FIG. 2, the method may include the following steps:

S201: Generate a data chart according to the source data, and display the data chart;

First, the source data can be obtained. Based on the source data, a data chart for data visualization can be generated and the data chart can be displayed. There can be different implementation methods for specific implementation. For example, from the perspective of system architecture, when implemented by independent devices, source data can be stored in the device, and the source data can be visualized in device applications, that is, data visualization data charts are generated based on the source data. This implementation can be used for visualization Data display application scenarios, such as speech display, event data planning and other applications. Of course, it can also be implemented in a server/client-based system architecture. For example, the source data can be stored on the server, and the server generates a data visualization data chart based on the source data at the request of the client, and sends the data chart to the client. The terminal displays the data chart and provides the corresponding operation interface. After receiving the operation through the operation interface, the adjustment result of the corresponding data is fed back to the server, and the server processes the feedback, such as discarding or saving the modification and upgrading the source data.

There are many forms of data charts, including element information dimensions and attribute information dimensions. Various types of data body tables can focus on expressing certain characteristics of the data, such as a pie chart that focuses on showing the proportion of each data item, and a distribution map combined with a map focuses on showing the geographical distribution of objects, and so on. The data chart can also include a two-dimensional table, which includes element information dimensions and attribute information dimensions. The element information dimensions and attribute information dimensions respectively correspond to the rows and columns (or: columns and rows) of the two-dimensional table, that is, the element information dimensions correspond to the two-dimensional The row/column of the table, and the attribute information dimension corresponds to the column/row of the two-dimensional table. In addition, in practical applications, you can also use composite charts, that is, use different types of charts to visualize the source data at the same time. A composite chart can include multiple different types of sub-charts, each of which is independent of each other, but they are all used to represent the same data source, or it can be a combination of multiple different forms of data charts to visualize the data source. Refer to Figure 3, which is an example of the data chart provided in Example 1 of this application. This chart is a composite chart that incorporates data visualization forms such as histograms and two-dimensional tables. That is, the source data is presented in a two-dimensional table as a whole. The specific numerical representation of the data also incorporates the representation method of the histogram, making the data visualization of the data more intuitive and easy to understand. The subsequent part of the content will be introduced in conjunction with the data chart used in Figure 3. The data chart in Figure 3 is a data chart about the expected planning of activities. These include element information dimensions and attribute information dimensions. For ease of introduction, the data chart exemplarily corresponds to element information dimensions in columns and attribute information dimensions in rows. In practical applications, this correspondence relationship can be interchanged. Among them, the element information dimension includes user type information, as shown in the first column of the data chart, such as "interest class A" type users and "active C" type users. The attribute information dimension includes the attribute information of "population target percentage" and "customer unit price" shown in the first row of the data chart.

S202: Determine target data in the data chart, and provide corresponding data operation options for the target data;

Unlike traditional data visualization that focuses on restoring the source data in the data chart to express the inherent characteristics of the source data, the data chart processing method provided in the embodiment of this application can not only generate and display the data chart based on the source data, but also can enhance the data The interactivity of the chart can provide the user with the ability to interact with the data chart while displaying the data chart of the source data. For example, it can be the ability to adjust and change the data items in the data chart, so that the data chart is The scope of application is greatly increased. After the data chart is generated and displayed, the target data in the data chart can be determined, and corresponding data operation options can be provided for the target data. The target data may be data that needs to be adjusted during the interaction process. Just as other data in the data chart corresponds to element information and attribute information, the target data may correspond to a target element information and a target attribute information item. The target data can be determined according to the user's operation. For example, the data to be operated or the data corresponding to the graphic element is determined as the target data in the displayed data chart.

The specific realization provides corresponding data operation options for the target data, which can be realized in different ways according to different practical applications and different data chart types. For example, in the data chart of the pie chart, the focus is on reflecting the proportion of different data. The proportion of each data is reflected in a different sector area. Of course, the target data also corresponds to a sector. The data chart of the pie chart can be provided The operation option for the proportion of the target sector, through which the angle or area of the target data sector can be adjusted. Similarly, for a histogram, such as the histogram shown in (b) in Figure 1, the height of the column in the histogram has a corresponding proportional relationship with the value of the data, and operation options for adjusting the height of the corresponding column of the target data can be provided. In fact, providing corresponding data operation options for the target data can include two types, one is drag type, such as draggable graphic elements, so as to be operated by devices such as a mouse, and the other can be For the input type, for example, an input box can be provided to receive the value input by the user, so that the precise adjustment value can be input through the keyboard. For example, the operation option can be a drag handle component, which can be used to drag graphic elements, or an input box component, used to input precise values. For example, for the data chart in Figure 3, the drag-type data operation options and the input-type data operation options can be implemented. Examples of the two options can be seen in Figure 4, where 4(a) in Figure 4 is for the adjustable The data provides drag-type operation options, that is, the circular handle behind the column of the histogram. The circular handle can be dragged to the left or right to change the corresponding data and the bar graph elements. In addition, as shown in 4(b) in Figure 4, an input-type data operation option can also be provided. The input-type data operation option can receive the amount of user input, and then the adjustment amount to the target data can be determined according to the amount. .

On the display interface of the data chart, you can also give hints for the use of data operation options. Refer to Figure 5, which shows the hints for the use of two types of data operation options. The use of hints can be given by hovering over the data chart. The graphical element or value is given. As shown in Figure 5, 5(a) is a prompt for the use of drag-type operation options, and 5(b) is a prompt for the use of input-type operation options.

S203: Determine a first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

When the corresponding data operation option is provided for the target data and the target data is adjusted through the data operation option, the first adjustment amount for adjusting the target data can be determined according to the input information generated by operating the data operation option, for example, according to The input information generated by the drag operation of the drag handle assembly determines the first adjustment amount for adjusting the target data; or the first adjustment amount for adjusting the target data may be determined according to the input information input in the input box assembly One adjustment amount. The first adjustment amount may be an increment for adjusting the target data, or may be a final target amount for adjusting the target data.

S204: Change the target data according to the first adjustment amount, and determine a target data change result.

After the first adjustment amount for adjusting the target data is determined, the target data may be changed according to the first adjustment amount to determine the target data change result. The change result of the target data can be displayed in the data chart in real time. The change of the target data can be real-time. The data chart can be refreshed to display the determined target data change result in the data chart. Most of the data in the data chart corresponds to corresponding graphic elements. Obviously, the result of the change of the target data can also be reflected by the change of the graphic elements in the chart.

The result of the change of the target data is reflected in the data chart, and the result of the change of the target data can also be fed back to the source data. For example, after the user confirms to save the changes in the data chart, the changed data can be saved to the data source. Unlike the data chart in the prior art that only faithfully reflects the data, this method can feed back the result of the change to the target data to the source data, thereby realizing that by providing operation options in the data chart, the target in the chart can be changed through the operation options Data (in some cases, this process is more similar to the change of graphic elements for the user), and then the change of the target data is provided back to the source data in a way, thereby increasing the flexibility of the interaction between the source data and the data chart It also provides users with a path to intuitively manipulate source data through data charts, increasing the interaction of data chart applications. In practical applications, the source data is usually stored in the form of a database, and the results of changes to the target data are fed back to the source data, which is equivalent to updating the database where the source data is located, and the database management system can proceed according to its own strategy. Update, for example, you can save the object data of the change operation, save the data table mirror and so on.

In addition to the operation of the data/graphics in the data chart through the data operation options to increase the interactivity of the data chart, the method provided in the embodiment of the present application can also process the source data that has an association relationship between the data. The association relationship of the data in the source data can be saved together with the source data. When performing data visualization tasks on the source data, the description information of the corresponding association relationship of the source data can be loaded. In the data chart generated by the source data, different types of association relationships can be shown in different dimensions. For example, the first association relationship can be shown in the attribute information dimension. Specifically, the attribute information dimension can include at least two association attributes. Information, associative attribute information with a first association relationship forms a group of associative attribute information, a group of associative attribute information is related by a first association relationship, and the first association relationship can be loaded when performing a data visualization task. Figure 6 is a schematic diagram of the first association relationship in the attribute information dimension in the data chart. The data chart in Figure 6 includes several attribute information in the attribute information dimension, and there is a first association relationship between each attribute information, for example, The population conversion rate is at the target amount, and there is a first correlation between the population conversion rate and the crowd water storage target, and the first correlation is actually a positive correlation. Describing this association relationship from the perspective of attribute information is actually a logical description. The reflection on the data can be the association relationship between data 610, data 611, and data 612 in Figure 6, where when data 610 is downregulated At this time, the data 611 and the data 612 will be adjusted downward accordingly. Similarly, when the data 620 is adjusted upward, the data 621 and the data 622 will also be adjusted upward along with the data 620.

The first association relationship is a logical description for the attribute information, while for the data under the attribute information, it becomes a quantitative description, that is, a functional relationship. For example, when data 610 is used as an independent variable, data 611 is used as a dependent variable. When adjusting the target data through the data operation options, if the target data is data under associative attribute information, when adjusting the target data, it is also necessary to determine the adjustment result of the associated data, where the associated data refers to the first association with the target data The relational data and the target data correspond to the same target element information. For example, in the data chart of FIG. 6, when the target data is data 610, the associated data may include peer data 611 or data 612.

Another embodiment of the association between source data is a constrained relationship. For example, in Figure 7, in the column where the data item 710 and the data item 720 are located, each data represents the corresponding proportion of the population classification, and the data in this column Specifically, it is a percentage value, and the sum of the various values is required to be 100%. These constraints are consistent with the objective facts and logic, and at the same time, they also compound the user's understanding habits. When designing an application, it is often required to conduct real-time inspections of such data row/column constraint conditions, so as to avoid illogical data or situations. This type of data corresponds to a kind of constraint attribute information in the attribute information dimension, that is, the attribute information dimension includes constraint attribute information, where some or all of the data under the same constraint attribute information satisfies the first constraint relationship, as shown in Figure 7 In the data chart shown, the "population target proportion" is a restricted attribute information, and the data under it must meet the constraint condition that the total sum is 100%. When the target data to be adjusted is restricted attribute information In order to ensure that each constrained data after adjustment still satisfies the first constraint relationship, an adjustment response data can be determined under the constraint attribute information, and the second adjustment amount of the adjustment response data can be determined based on the first constraint relationship, where The second adjustment amount is used to change the adjustment response data, so that after the target data and the adjustment response data are changed, the first constraint relationship between the related data under the constraint attribute information is still maintained. As shown in Figure 7, when the target data to be adjusted (reduced) is 710, the sum of the data in the column in which it is located still satisfies the constraint condition that the sum is 100% after the adjustment. It can be in this column, that is, in this column. Determine an adjustment response data 720 under the constraint attribute information. The adjustment response data 720 is changed according to the second adjustment amount, so that after the target data and the adjustment response data are changed, the data in the column still meets the constraint condition that the sum is 100% . At the same time, as shown in the figure, the data item 710 and the data item 711, and the data item 720 and the data item 721 are also affected by the first association relationship. When the data item 710 is reduced, the data item 711 is affected according to the first association relationship. It also decreases, and the data item 721 increases as the data item 720 increases.

The aforementioned association relationship is more similar to a functional relationship, and the first constraint relationship is a restriction on the sum of a set of data, the ratio of data to data, and the maximum value of data. The first association relationship and the first constraint relationship may be determined by the user, or may be calculated in the machine learning of the data.

The constraint relationship of each data under the constraint attribute information can be objectively formed. For example, when a group of people is classified, the total proportion of each category is naturally 100%, which is in line with objective logic and user cognition constraints. When machine learning is performed on the data to obtain source data, such as when generating attribute information of component proportions, the underlying data will naturally require a sum of 100%. When adjusting the classified proportion data in the corresponding data chart, corresponding constraints must be made so that the adjusted data still conforms to the objective logic and the data adjustment operation smoothly passes the verification of the application program. Of course, this constraint relationship can also be specified, for example, formulated by a data administrator. The first constraint condition can also be saved with the source data. When performing a data visualization task on the source data, the description information of the first constraint condition corresponding to the source data can be loaded. In practical applications, the first constraint relationship can include different types of constraint relationships, and the constraint relationship can also be used as a check condition for data changes in visualization applications. The first constraint relationship can include one of the following constraint relationship examples:

The sum of the data items restricted by the first constraint relationship is a fixed value;

The proportion of data items restricted by the first constraint relationship is a fixed value; or,

The sum of the data items restricted by the first constraint relationship does not exceed the preset maximum allowable value.

When the target data is data under constrained attribute information, there are multiple ways to determine adjustment response data under the constrained attribute information, such as specifying data in a certain row/column as adjustment response data, or adding One row/column, the data of the constraint attribute information is determined as the adjustment response data. That is, when the target data is the data under the constraint attribute information, the adjustment response data can be determined according to the specified data item under the constraint attribute information; or, when the target data is the data under the constraint attribute information, A new data item is created under the constraint attribute information, and the newly created data item is determined as the adjustment response data.

The adjusted target data is displayed in the data chart according to the change result. When there is associated data in the data chart that has an association relationship with the target data, you can also update the associated data in the data chart, that is, display the adjusted associated data. The display of the adjusted target data and the adjusted associated data can be synchronized and real-time. In some operation modes, for example, the target data is adjusted by dragging the handle, the change of the target data and the associated data can be linear and real-time changes.

In the attribute information dimension of a data chart, it may include two or more constrained attribute information, and part or all of the data under each constrained attribute information satisfies the corresponding constraint relationship of the constrained attribute information. When the adjustment of multiple target data under multiple constraint attribute information is involved, the corresponding adjustment response data can be adjusted according to the corresponding constraint relationship, so that the adjusted data under each constraint attribute information still meets the corresponding requirements. The constraint relationship.

Regarding the adjustment response data, in some applications it can only be used as a buffer of the adjustment process, without paying attention to its changes and other data changes caused by the adjustment response data, but in some applications this is not the case. Sometimes when adjusting the target data, the adjustment response data itself, or other data that changes due to changes in the adjustment response data, may also have important influence or data that is actually concerned, so it can be highlighted in the data chart Adjust the degree of change of the response data, or finally offset the offset of the adjustment response data through further adjustments.

In one implementation, the initial value of the adjustment response data can be determined, and the initial value of the adjustment response data can be stored in the cache. After completing the adjustment of the target data once, determine the offset of the adjustment response data change. One of the significances of determining the offset of the corresponding data change is that the offset can be reflected in the data chart, so that the user can understand the changes in the adjustment response data in real time during the process of adjusting the target data, especially when performing multiple changes in sequence. In the case of adjustment of target data, the changes in response data can be clearly adjusted. In another embodiment, for applications that need to restore the adjustment response data after the adjustment is completed, it can be determined whether to reset the offset of the adjustment response data change, such as reading the user configuration to determine, or When certain operation actions (such as saving data changes) occur, a zero-return check is performed. If it is determined that a zero-return check is required, check whether the offset is zeroed after the adjustment of the current target data. Of course, in the case where the offset needs to be reset to zero but it is not actually reset, the data adjustment can be continued until the offset in response to the data change is reset to zero.

As mentioned above, the method provided in the first embodiment of the present application can be applied to a variety of application scenarios, for example, it can be applied to various project budget design, marketing planning, speech display, data deduction and analysis, etc. In different application scenarios, The information and data contained in the generated data chart may be different. For example, when a visualization application of crowd-related data is involved, the element information in the element information dimension of the data chart may include crowd classification information. A specific example can be the classification information of each crowd obtained by classifying the crowd types in the data chart in FIG. 3. The source data of the data chart can also be different according to actual applications. For example, the source data can include activity plan data, and the created data chart includes the activity plan chart. The activity plan data can be used to target Plan the implementation of the activity, apply the processing method of this application to directly adjust the data of the activity plan chart, and obtain a clear and intuitive adjustment result, and finally achieve a satisfactory result of the activity data planning.

The data chart can be a composite data chart containing multiple sub-charts, where the sub-charts are related in element information dimensions and/or attribute information dimensions. For example, the attribute information in sub-chart A can be the attribute of sub-chart B A part of the information, or the element information in the chart A may be a further subdivision type of the element information of the subchart B, that is, the element information and/or attribute information included in the subchart is a subdivision of another subchart.

The above provides a detailed introduction to the chart processing method provided by the embodiment of the application. The method can create and display a data chart based on the source data, provide data operation options for the target data in the data chart, and operate according to the data operation options. Input information to determine the first adjustment amount for adjusting the target data; change the target data according to the first adjustment amount to determine the target data change result. Thus, the data chart can not only reflect the characteristics of the source data, but also provide operation options with interactive functions. Users can operate the data objects in the data chart in a more intuitive way through the data operation options, such as graphical elements or values. Making changes can quickly and conveniently view the changed data characteristics in the data chart, which enhances the function of the data chart and greatly increases the interactivity of the data chart. Further, the result of the change to the target data can also be fed back to the source data. Different from the data chart in the prior art that only faithfully reflects the data, the result of the change to the target data is fed back to the source data, which increases the flexibility of the interaction between the source data and the data chart, and provides a way to visualize the data through the chart. The way of manipulating the source data increases the user's ability to manipulate the source data, so that the data chart can not only be used to display the characteristics of the source data, but also the data chart has the potential for wider application. Further, the method can also visualize the source data that has an association relationship between the data, and process different types of association relationships in each dimension between the data in the established data chart. The target data includes When the data has an association relationship with other data, it can realize the processing of the associated data while operating the target data, which greatly increases the flexibility and adaptability of data visualization application technology, and enables data visualization and data chart technology With stronger interaction capabilities, it also realizes the display and processing capabilities of relational data. Based on these capabilities, data charts can be applied to a wider range of fields.

Example two

The second embodiment of the application provides a data processing method. Please refer to FIG. 8, which is a flowchart of the data experiment method provided in the second embodiment of the application. The method may include the following steps:

S801: Generate a data visualization data chart according to the source data, display the data chart and load the correlation relationship between independent variable data and dependent variable data; the data chart includes element information dimensions and attribute information dimensions;

Data experiments can be deduced based on the source data used in the experiment to observe the changes in the data of interest; it can also adjust different target data to make the data of interest reach the ideal value, so as to obtain the optimal solution data; or It is used to show the dynamic data change process and obtain a better presentation effect. This solution is based on the chart processing method in Example 1, especially the method content of processing relational source data (that is, the data in the source data has a specific type of association relationship in a specific dimension), and applies the data chart processing method Method for data experiment. First, the source data can be determined, and data charts for data visualization can be generated based on the source data, and the data charts can be displayed. The source data contains data with an association relationship, such as data with a functional relationship, including independent variable data and dependent variable data. The association relationship of the data can be saved with the source data and loaded when the data chart is created. The created data chart can include element information dimensions and attribute information dimensions. For the content of the element information dimension and the attribute information dimension, please refer to the description in the first embodiment, which will not be repeated here. In this method, data relationships can include multiple types, and data relationships can be crossed. For example, the same independent variable data can be used as independent variable data of different functional relationships at the same time. The independent variable data and the dependent variable data can correspond to different attribute information in the attribute information dimension. For example, in a certain application scenario, the independent variable data can correspond to the attribute information of "population target proportion", and the dependent variable data can correspond to the attribute information of "total sales". In this application, you can observe the changes in the dependent variable data of total sales by adjusting the independent variable of the target proportion of different populations.

S802: Determine the independent variable data in the data chart, and provide corresponding data operation options for the independent variable data;

The independent variable data in the data chart can be determined, and the corresponding data operation options can be provided for the independent variable data. The operation options can be used to adjust the respective variable data to change the independent variable data based on the correlation between the independent variable data and the dependent variable data. Dependent variable data, and dependent variable data is usually data that is of interest in data experiments, or data that is expected to achieve a certain goal.

S803: Determine an adjustment amount for adjusting the independent variable data according to the input information for operating the data operation option, and change the independent variable data according to the adjustment amount;

For the content of this step, please refer to step S203 in the first embodiment. According to the input information for operating the data operation option, the first adjustment value for adjusting the target data is determined. The similar specific implementation is similar and will not be repeated here.

S804: Based on the association relationship, determine corresponding dependent variable data that changes with the change of the independent variable data, and load the changed dependent variable data in the data chart.

In the data chart, the adjustment amount to adjust the independent variable data is determined, and after the independent variable data is changed according to the adjustment amount, the corresponding dependent variable data that changes with the independent variable data can be determined based on the association relationship, and Load the changed dependent variable data in the data chart to observe the change of the dependent variable, or determine the state of the independent variable data after the dependent variable data reaches the ideal value.

Among them, the attribute information dimension can include constraint attribute information, and some or all of the data under the same constraint attribute information meets the second constraint relationship; when the independent variable data is data under constraint attribute information, under the constraint attribute information Determine an adjustment response data; when changing the independent variable data, adjust the adjustment response data based on the second constraint relationship, so that after the independent variable data is changed, the relationship between the related data under the constraint attribute information is maintained The second constraint relationship. For the specific implementation of this part, refer to the data processing method for the first constraint relationship in the first embodiment. The data experiment method is based on the data chart in the first embodiment and the processing method of the data chart, and part or all of the features of the data processing method in the first embodiment can be applied approximately. Similarly, in this data experiment method, the data changes in the data chart can be fed back to the source data.

In some applications, you may want some data to change only within a certain range. For example, you want some data to not exceed/not fall below a certain value; for example, when you use a data chart to represent construction activity data, you want to perform other projects. When adjusting, the emission of harmful gases cannot exceed a certain value. At this time, the maximum allowable value of the emission can be locked to observe or determine the change of the gas emission within the maximum value during the adjustment of other items. In specific implementation, a lock operation option to lock dependent variable data can be provided. When a target value is received through the lock operation option, the limit value of the dependent variable data is locked as the target value. The target value can be the maximum allowable value or the minimum allowable value Wait. When the corresponding dependent variable data that changes with the change of the independent variable data reaches the limit value, stop changing the independent variable data and the corresponding dependent variable data.

In specific applications, the data processing method can be applied to the processing method of event planning data. In the specific implementation, data visualization data charts can be generated according to the event source data, display the data charts and load the adjustment item data and planning target data. Association relationship, determine the target adjustment item data in the data chart, provide corresponding data operation options for the target adjustment item data; according to the input information for operating the data operation options, determine the adjustment amount to adjust the target adjustment item data, and according to The adjustment amount change target adjustment item data, based on the association relationship, determines the corresponding planning target data that changes with the adjustment item data change, and updates the planning target data in the data chart. Based on a mechanism similar to the data chart processing method in the first embodiment, the interactive ability of the data chart can be used when planning data, and the processing capacity of the relational data added in the data chart can be used, which is intuitive and fast. Tools for event planning data processing, can intuitively and quickly obtain the processing results of data event planning, use data charts to realize deduction based on event source data, and observe the changes in planning target data; or through adjustment of different adjustment item data , To make the planning target data concerned reach the ideal value, so as to obtain the optimal activity planning data solution; or to show the dynamic activity planning data change process to obtain a better demonstration effect. Among them, the activities can be various types of social activities, economic activities, etc., such as marketing activities, architectural planning activities and so on.

The second embodiment of the application provides a data processing method, which can generate and display data charts for data visualization based on source data, load the correlation between independent variable data and dependent variable data; determine the independent variable data in the data chart , Provide corresponding data operation options for the independent variable data; determine the adjustment amount for adjusting the independent variable data according to the input information for operating the data operation options, and change the independent variable data according to the adjustment amount; based on the association relationship , Determine the corresponding dependent variable data that changes as the independent variable data changes, and load the changed dependent variable data in the data chart. Based on a mechanism similar to the data chart processing method in the first embodiment, the data experiment method uses the added interactive capabilities for data charts and the increased processing capabilities of relational data in the data charts, which can use the intuitive and fast tool of data charts Carrying out data experiments can intuitively and quickly obtain the processing results of the data experiments, using data charts to realize deduction based on the source data, and observe the changes of the data concerned; or through the adjustment of different target data, the data of interest can be reached Ideal value, so as to obtain the optimal solution data; or used to show the dynamic data change process, obtain a better presentation effect, etc.

Example three

The third embodiment of the present application provides a chart processing method. Please refer to FIG. 9, which is a flowchart of the data processing method provided in the third embodiment of the present application. The method may include the following steps:

S901: Generate a data chart according to the first source data, and provide data operation options for the data chart; the operation options are used to adjust target data in the data chart;

First, a data chart for data visualization can be generated based on the first source data, and data operation options can be provided for the data chart; the data operation options can be operation options in a program that displays the data chart, such as a sliding input operation handle, Or data input components, etc., operation options can be used to adjust the target data in the data chart. The forms of data charts can be various, such as pie charts, line charts, histograms, coordinate distribution charts, etc., which can include element information dimensions and attribute information dimensions. The data chart can also include a two-dimensional table, which includes element information dimensions and attribute information dimensions, which correspond to the rows and columns (or: columns and rows) of the two-dimensional table respectively, that is, the element information dimensions correspond to the rows/columns of the two-dimensional table, and The attribute information dimension corresponds to the column/row of the two-dimensional table. In addition, in practical applications, you can also use composite charts, that is, use different types of charts at the same time to visualize the source data.

S902: Determine an adjustment amount for adjusting the target data according to the input information for operating the data operation option;

While displaying the data chart of the first source data, it provides users with the ability to operate and interact with the data chart. Determine the target data in the data chart and provide corresponding data operation options for the target data. When the target data is provided with the corresponding data operation options to be operated, the target data is adjusted through the data operation options, which can be adjusted according to the data operation options The input information generated by the operation determines the adjustment amount to adjust the target data. For example, the adjustment amount to adjust the target data can be determined according to the input information generated by the drag operation of the drag handle component; or it can be determined according to the input box component Enter the input information to determine the adjustment amount to adjust the target data. The adjustment amount may be an increment for adjusting the target data, or may be the final target amount for adjusting the target data.

S903: Determine the second source data according to the adjustment amount.

After the adjustment amount for adjusting the target data is determined, the target data can be changed according to the adjustment amount. The change result of the target data can be displayed in the data chart in real time. The change of the target data can be real-time. The data chart can be refreshed to display the determined target data change result in the data chart. The changed target data can be determined according to the adjustment amount, as well as data having a specific relationship with the target data, for example, data having a first association relationship with the target data or a first constraint relationship, and can be automatically adjusted according to the specific relationship. The second source data can be determined according to the adjustment amount. The second source data is different from the first source data. For example, it may be obtained by adjusting the adjustment amount based on the first source data.

The chart processing method provided by the embodiment of the application is described in detail above. The method can generate a data chart according to the first source data, and provide data operation options for the data chart; the operation options can be used to perform operations on the target data in the data chart. Adjustment; Determine the adjustment amount for adjusting the target data according to the input information for operating the data operation option; determine the second source data according to the adjustment amount. Therefore, the data chart can not only reflect the characteristics of the source data, but also provide operation options with interactive functions. The user can operate the data objects in the data chart through the data operation options in a more intuitive way, such as graphical elements or The value is changed, and the changed data characteristics can be quickly and conveniently viewed in the data chart. Through the operation options provided in the data chart, the first source data can be directly adjusted to obtain the second source data, which enhances the function of the data chart , Which greatly increases the interactivity of the data chart.

Corresponding to the first embodiment of the present application, a data chart processing device is also provided. Refer to FIG. 10, which is a schematic diagram of the data chart processing device. The data chart processing device may include:

The chart generating unit 1010 is configured to generate a data chart based on source data and display the data chart; the data chart may include element information dimensions and attribute information dimensions;

The first operation option providing unit 1020 is used to determine the target data in the data chart and provide corresponding data operation options for the target data; wherein the target data corresponds to a target element information and a target attribute information;

The adjustment amount determining unit 1030 is configured to determine the first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The target data changing unit 1040 is configured to change the target data according to the first adjustment amount, and determine a target data change result.

Wherein, the data chart may include an element information dimension and an attribute information dimension; the attribute information dimension includes at least two associative attribute information, and a group of the associative attribute information is related by a first association relationship; the device further includes:

The first association relationship loading unit is configured to load the first association relationship.

Wherein, the data corresponding to each association type attribute information is also related by the first association relationship; the device further includes:

The associated data adjustment unit is configured to determine an adjustment result of the associated data if the target data is data under the associated attribute information; wherein the associated data is data that has a first association relationship with the target data, and It corresponds to the same target element information as the target data.

The device may also include:

The target data refresh unit is used to display the adjusted target data in the data chart according to the change result.

The data chart includes element information dimensions and attribute information dimensions; wherein the attribute information dimension includes constraint attribute information, and some or all of the data under the same constraint attribute information satisfies the first constraint relationship; the device may further include:

An adjustment response data determining unit, configured to determine an adjustment response data under the restriction attribute information when the target data is the data under the restriction attribute information;

The second adjustment amount determining unit is configured to determine the second adjustment amount of the adjustment response data based on the first constraint relationship; the second adjustment amount is used to change the adjustment response data to change the target data and the adjustment response data After that, the first constraint relationship between related data under the constraint attribute information is maintained.

The first constraint relationship may include:

The sum of the data items restricted by the first constraint relationship is a fixed value;

The proportion of data items restricted by the first constraint relationship is a fixed value; or,

The sum of the data items restricted by the first constraint relationship does not exceed the preset maximum allowable value;

When the target data is data under the restriction attribute information, an adjustment response data is determined under the restriction attribute information, and the adjustment response data can be determined according to a designated data item under the restriction attribute information. Or, when the target data is the data under the restriction attribute information, a new data item can be created under the restriction attribute information, and the newly created data item can be determined as the adjustment response data.

In another implementation manner, the device may further include:

The initial value determining unit is used to determine the initial value of the adjustment response data;

The offset determination unit is used to determine the offset of the adjustment response to the data change after completing the adjustment of the target data once.

In this implementation manner, the device may further include:

The zero return determination unit is used to determine whether to perform a zero return check on the offset of the adjustment response data change; and, the zero return check unit is used to check whether the offset is current if it is determined that a zero return check is required Return to zero after adjustment of the target data.

The attribute information dimension may include at least two constrained attribute information, and part or all of the data under each constrained attribute information satisfies the corresponding constraint relationship of the constrained attribute information. The data chart may include a two-dimensional table; the element information dimension of the two-dimensional table corresponds to the row/column of the two-dimensional table; the attribute information dimension of the two-dimensional table corresponds to the column/row of the two-dimensional table. The operation option may include a drag handle component, and the first adjustment amount for adjusting the target data is determined according to the input information for operating the data operation option, and may be based on the input information generated by the drag operation on the drag handle component, Determine the first adjustment amount for adjusting the target data. The operation option may also be an input box component, and the first adjustment amount for adjusting the target data may be determined according to the input information entered in the input box component.

The data chart processing device may further include:

The change result feedback unit is configured to feed back the change result of the target data to the source data.

The data chart includes the element information dimension, and the element information in the element information dimension may include crowd classification information. In another implementation manner, the source data may include activity plan data. The data chart may include a composite data chart containing multiple sub-charts; wherein the sub-charts are related in the element information dimension and/or the attribute information dimension. The sub-charts are related in the element information dimension and/or the attribute information dimension, and the element information and/or attribute information included in the sub-chart may be a subdivision of another sub-graph.

Corresponding to the second embodiment of the present application, a data processing device is also provided. Refer to FIG. 11, which is a schematic diagram of the data experiment device. The data experiment device may include:

The chart establishing unit 1110 is configured to generate a data visualization data chart according to the source data, display the data chart and load the correlation between independent variable data and dependent variable data; the data chart includes element information dimensions and attribute information dimensions;

The second operation option providing unit 1120 is configured to determine the independent variable data in the data chart, and provide corresponding data operation options for the independent variable data;

The independent variable data adjustment unit 1130 determines the adjustment amount for adjusting the independent variable data according to the input information for operating the data operation option, and changes the independent variable data according to the adjustment amount;

The dependent variable data update unit 1140 is configured to determine corresponding dependent variable data that changes with the change of the independent variable data based on the association relationship, and load the changed dependent variable data in the data chart.

Corresponding to the third embodiment of the present application, a chart processing device is also provided. Referring to FIG. 12, it is a schematic diagram of the processing device for the event planning data. The processing device for the event planning data may include:

The chart processing unit 1210 is configured to generate a data chart according to the first source data and provide data operation options for the data chart; the operation options are used to adjust the target data in the data chart;

The adjustment amount processing unit 1220 is configured to determine an adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The result processing unit 1230 is configured to determine the second source data according to the adjustment amount.

The embodiment of the present application also provides a computer system, including:

One or more processors; and

A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

Generate a data chart according to the source data and display the data chart; the data chart includes element information dimensions and attribute information dimensions;

Determine the target data in the data chart, and provide corresponding data operation options for the target data; the target data corresponds to a target element information and a target attribute information;

Determine the first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

The target data is changed according to the first adjustment amount, and the target data change result is determined.

Among them, FIG. 13 exemplarily shows the architecture of the computer system, which may specifically include a processor 1310, a video display adapter 1311, a disk drive 1312, an input/output interface 1313, a network interface 1314, and a memory 1320. The processor 1310, the video display adapter 1311, the disk drive 1312, the input/output interface 1313, the network interface 1314, and the memory 1320 may be communicatively connected through the communication bus 1330.

Among them, the processor 1310 may be implemented by a general CPU (Central Processing Unit, central processing unit), microprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits. Perform relevant procedures to realize the technical solutions provided in this application.

The memory 1320 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory, random access memory), static storage device, dynamic storage device, etc. The memory 1320 may store an operating system 1321 for controlling the operation of the computer system 1300 and a basic input output system BIOS 1322 for controlling the low-level operation of the computer system 1300. In addition, web browser 1323, data storage management system 1324, and icon font processing system 1325 can also be stored. The aforementioned icon font processing system 1325 may be an application program that specifically implements the foregoing steps in the embodiment of the present application. In short, when the technical solution provided by the present application is implemented through software or firmware, the relevant program code is stored in the memory 1320 and is called and executed by the processor 1310.

The input/output interface 1313 is used to connect an input/output module to realize information input and output. The input/output/module can be configured in the device as a component (not shown in the figure), or can be connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and an output device may include a display, a speaker, a vibrator, an indicator light, and the like.

The network interface 1314 is used to connect a communication module (not shown in the figure) to realize the communication interaction between the device and other devices. The communication module can realize communication through wired means (such as USB, network cable, etc.), or through wireless means (such as mobile network, WIFI, Bluetooth, etc.).

The bus 1330 includes a path for transmitting information between various components of the device (such as the processor 1310, the video display adapter 1311, the disk drive 1312, the input/output interface 1313, the network interface 1314, and the memory 1320).

In addition, the computer system 1300 can also obtain information about specific receiving conditions from the virtual resource object receiving condition information database 1341 for condition judgment, and so on.

It should be noted that although the above device only shows the processor 1310, the video display adapter 1311, the disk drive 1312, the input/output interface 1313, the network interface 1314, the memory 1320, the bus 1330, etc., in the specific implementation process, the The device may also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above-mentioned device may also include only the components necessary for implementing the solution of the present application, and not necessarily all the components shown in the figure.

From the description of the foregoing implementation manners, it can be understood that those skilled in the art can clearly understand that this application can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product can be stored in a storage medium, such as ROM/RAM, magnetic disk , CD-ROM, etc., including several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in each embodiment or some parts of the embodiment of this application.

The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment. The system and system embodiments described above are merely illustrative, where the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, namely It can be located in one place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments. Those of ordinary skill in the art can understand and implement it without creative work.

The chart processing, data processing methods and devices provided in this application are described in detail above. Specific examples are used in this article to explain the principles and implementations of this application. The description of the above examples is only used to help understand this application. The application method and its core idea; meanwhile, for the ordinary skilled in the art, according to the idea of this application, there will be changes in the specific implementation and the scope of application. In summary, the content of this specification should not be construed as a limitation on this application.

Claims (31)

1. A chart processing method, characterized in that it comprises:

   Generate a data chart according to the source data, and display the data chart;

   Determine the target data in the data chart, and provide corresponding data operation options for the target data;

   Determine the first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

   The target data is changed according to the first adjustment amount, and the target data change result is determined.
2. The method according to claim 1, wherein the data chart includes an element information dimension and an attribute information dimension; the attribute information dimension includes at least two associative attribute information, a group of the associative attribute information Are related by a first association relationship; the method further includes:

   Load the first association relationship.
3. The method according to claim 2, wherein the data corresponding to each of the associated attribute information is also related by the first association relationship; the method further comprises:

   If the target data is the data under the associative attribute information, the adjustment result of the associated data is determined; wherein the associated data is data that has a first association relationship with the target data, and corresponds to the target data The same target element information.
4. The method according to claim 1, further comprising:

   According to the change result, the adjusted target data is displayed in the data chart.
5. The method according to claim 1, wherein the data chart includes an element information dimension and an attribute information dimension; the attribute information dimension includes constraint attribute information, and part or all of the same constraint attribute information The data satisfies the first constraint relationship; the method further includes:

   When the target data is the data under the restriction attribute information, determine an adjustment response data under the restriction attribute information;

   The second adjustment amount of the adjustment response data is determined based on the first constraint relationship; the second adjustment amount is used to change the adjustment response data so as to maintain the adjustment response data after the target data and adjustment response data are changed. The first constraint relationship between related data under constraint attribute information.
6. The method according to claim 5, wherein the first constraint relationship comprises:

   The sum of the data items constrained by the first constraint relationship is a fixed value.
7. The method according to claim 5, wherein the first constraint relationship comprises:

   The proportion of data items restricted by the first constraint relationship is a fixed value.
8. The method according to claim 5, wherein the first constraint relationship comprises:

   The sum of the data items restricted by the first constraint relationship does not exceed the preset maximum allowable value.
9. The method according to claim 5, wherein when the target data is data under the restriction attribute information, determining an adjustment response data under the restriction attribute information comprises:

   When the target data is data under the restriction attribute information, the adjustment response data is determined according to a designated data item under the restriction attribute information.
10. The method according to claim 5, wherein when the target data is data under the restriction attribute information, determining an adjustment response data under the restriction attribute information comprises:

    When the target data is data under the restriction attribute information, a new data item is created under the restriction attribute information, and the newly created data item is determined as the adjustment response data.
11. The method according to claim 9 or 10, further comprising:

    Determining the initial value of the adjustment response data;

    After completing the adjustment of the target data once, determine the offset of the adjustment response data change.
12. The method according to claim 11, further comprising:

    Determining whether to perform a zero return check on the offset of the adjustment response data change;

    If it is determined that the zero-return check is required, it is checked whether the offset is reset to zero after the current target data is adjusted.
13. The method according to claim 5, wherein the attribute information dimension includes at least two constrained attribute information, and part or all of the data under each constrained attribute information satisfies the corresponding constraint attribute information. Constraint relationship.
14. The method according to claim 1, wherein the data chart comprises a two-dimensional table; the element information dimension of the two-dimensional table corresponds to the row/column of the two-dimensional table; the attribute information dimension of the two-dimensional table corresponds to the two-dimensional table Column/row.
15. The method according to claim 1, wherein the operation option includes dragging a handle assembly, and the first adjustment amount for adjusting the target data is determined according to the input information for operating the data operation option ,include:

    The first adjustment amount for adjusting the target data is determined according to the input information generated by the drag operation of the drag handle assembly.
16. The method according to claim 1, wherein the operation option includes an input box component, and the first adjustment amount for adjusting the target data is determined according to the input information for operating the data operation option ,include:

    According to the input information input in the input box component, the first adjustment amount for adjusting the target data is determined.
17. The method according to any one of claims 1-16, further comprising:

    The result of the change to the target data is fed back to the source data.
18. The method according to any one of claims 1-16, wherein the data chart includes an element information dimension, and the element information in the element information dimension includes crowd classification information.
19. The method according to any one of claims 1-16, wherein the source data includes activity plan data.
20. The method according to any one of claims 1-16, wherein the data chart comprises a composite data chart containing a plurality of sub-charts; wherein the element information dimension and/or attribute information is between the sub-charts. Dimensionally relevant.
21. The method according to claim 20, wherein the element information dimension and/or attribute information dimension between the sub-graphs have correlation, comprising:

    The element information and/or attribute information included in the sub-chart is a subdivision of another sub-chart.
22. A data processing method, characterized by comprising:

    Generate a data visualization data chart according to the source data, display the data chart and load the association relationship between independent variable data and dependent variable data; the data chart includes element information dimensions and attribute information dimensions;

    Determine the independent variable data in the data chart, and provide corresponding data operation options for the independent variable data;

    Determining an adjustment amount for adjusting the independent variable data according to the input information for operating the data operation option, and changing the independent variable data according to the adjustment amount;

    Based on the association relationship, determine the corresponding dependent variable data that changes with the change of the independent variable data, and load the changed dependent variable data in the data chart.
23. The method according to claim 22, wherein the independent variable data and the dependent variable data correspond to different attribute information in the attribute information dimension.
24. The method according to claim 22 or 23, wherein the attribute information dimension includes constrained attribute information, and some or all of the data under the same constrained attribute information satisfies the second constraint relationship; the method further include:

    When the independent variable data is data under the constraint attribute information, determine an adjustment response data under the constraint attribute information;

    When the independent variable data is changed, the adjustment response data is adjusted based on the second constraint relationship, so that after the independent variable data is changed, the second constraint relationship between related data under the constraint attribute information is maintained .
25. The method according to claim 22 or 23, further comprising:

    Feed back the data changes in the data chart to the source data.
26. The method according to claim 22 or 23, further comprising:

    Provide lock operation options for locking the dependent variable data;

    When a target value is received through the lock operation option, lock the limit value of the dependent variable data as the target value;

    When the corresponding dependent variable data that changes with the change of the independent variable data reaches the limit value, stop changing the independent variable data and the corresponding dependent variable data.
27. A chart processing method, characterized by comprising:

    Generate a data chart according to the first source data, and provide data operation options for the data chart; the operation options are used to adjust the target data in the data chart;

    Determining an adjustment amount for adjusting the target data according to the input information for operating the data operation option;

    According to the adjustment amount, the second source data is determined.
28. A chart processing device, characterized in that it comprises:

    The chart generating unit is used to generate a data chart according to the source data and display the data chart;

    The first operation option providing unit is used to determine the target data in the data chart and provide corresponding data operation options for the target data;

    An adjustment amount determining unit, configured to determine a first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

    The target data changing unit is configured to change the target data according to the first adjustment amount to determine the target data change result.
29. A data processing device, characterized by comprising:

    The chart establishment unit is configured to generate a data visualization data chart according to the source data, display the data chart and load the correlation between independent variable data and dependent variable data; the data chart includes element information dimensions and attribute information dimensions;

    The second operation option providing unit is used to determine the independent variable data in the data chart and provide corresponding data operation options for the independent variable data;

    The independent variable data adjustment unit determines the adjustment amount for adjusting the independent variable data according to the input information for operating the data operation option, and changes the independent variable data according to the adjustment amount;

    The dependent variable update unit is configured to determine the corresponding dependent variable data that changes with the change of the independent variable data based on the association relationship, and load the changed dependent variable data in the data chart.
30. A chart processing device, characterized by comprising:

    The chart processing unit is configured to generate a data chart according to the first source data and provide data operation options for the data chart; the operation options are used to adjust the target data in the data chart;

    An adjustment amount processing unit, configured to determine an adjustment amount for adjusting the target data according to the input information for operating the data operation option;

    The result processing unit is configured to determine the second source data according to the adjustment amount.
31. A computer system, characterized in that it comprises:

    One or more processors; and

    A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

    Generate a data chart according to the source data, and display the data chart;

    Determine the target data in the data chart, and provide corresponding data operation options for the target data;

    Determine the first adjustment amount for adjusting the target data according to the input information for operating the data operation option;

    The target data is changed according to the first adjustment amount, and the target data change result is determined.

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