CN111061922A - Data visualization processing method, system, terminal equipment and storage medium - Google Patents
Data visualization processing method, system, terminal equipment and storage medium Download PDFInfo
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Abstract
The invention provides a data visualization processing method, a system, a terminal device and a storage medium, wherein the method comprises the following steps: acquiring data and performing standardized warehousing on the acquired data; analyzing to obtain the incidence relation among all data items in the stored data; and generating a corresponding visual association diagram according to the stored data and the association relationship among the data items. The method and the device provided by the invention can intuitively and clearly show the relevance among the data and improve the accuracy and efficiency of data analysis.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data visualization processing method, system, terminal device, and storage medium.
Background
With the development of business intelligence technology, more and more enterprises begin to consciously establish an integrated data analysis platform to realize data management, data integration and operation decision analysis. The integrated data analysis platform usually displays data in a chart form, so that a user can visually view the chart and analyze and integrate data associated with the chart.
At present, a common business intelligent tool, a report tool and a data visualization tool are displayed in a single chart and single-dimensional mode on a chart display method, the display mode of the display method is single, and a user does not have an intuitive graphical interface when analyzing a large amount of data, and only performs data display and analysis by screening data and performing statistical analysis or generating a single graphical interface, so that the relevance of the data cannot be displayed intuitively and clearly, and the accuracy and the efficiency of data analysis are influenced.
Disclosure of Invention
The invention aims to provide a data visualization processing method, a data visualization processing system, terminal equipment and a storage medium, which can visually and unambiguously display the relevance among data and improve the accuracy and efficiency of data analysis.
The technical scheme provided by the invention is as follows:
the invention provides a data visualization processing method, which comprises the following steps:
acquiring data and performing standardized warehousing on the acquired data;
analyzing to obtain the incidence relation among all data items in the stored data;
and generating a corresponding visual association diagram according to the stored data and the association relationship among the data items.
Further, the step of acquiring data and performing standardized warehousing on the acquired data comprises the steps of:
acquiring required data according to data analysis requirements;
performing unified format processing on the data content of the acquired data according to a preset data tag format;
and importing the data with the uniform data content format into a database of the visual analysis tool.
Further, the analyzing to obtain the association relationship among the data items in the warehoused data includes the steps of:
and performing data calculation and data analysis on the database-entered data according to the target graph algorithm to obtain the incidence relation among the data items.
Further, the step of generating a corresponding visual association diagram according to the association relationship between the warehoused data and each data item includes the steps of:
obtaining a selected data display mode according to user input information;
capturing target data item information of a blank multidimensional area;
generating a chart of a corresponding type according to the target data item information, the warehoused data, the incidence relation among the data items and the data display mode, and filling the chart in a blank display area to generate a visual incidence chart.
The invention also provides a data visualization processing system, comprising:
the acquisition and import module is used for acquiring data and performing standardized warehousing on the acquired data;
the data analysis module is used for analyzing and obtaining the incidence relation among the data items in the stored data;
and the visual display module is used for generating a corresponding visual association diagram according to the stored data and the association relationship among the data items.
Further, the acquiring and importing module includes:
the data acquisition unit is used for acquiring required data according to the data analysis requirement;
the data processing unit is used for carrying out unified format processing on the data content of the acquired data according to a preset data label format;
and the data import unit is used for importing the data with the uniform data content format into a database of the visual analysis tool.
Further, the data analysis module comprises:
and the calculation analysis unit is used for performing data calculation and data analysis on the database-entered data according to the target graph algorithm to obtain the association relation among the data items.
Further, the visual display module comprises:
the information acquisition unit is used for acquiring the selected data display mode according to the user input information;
the information grabbing unit is used for grabbing target data item information of a blank multi-dimensional area;
and the image generation unit is used for generating a chart of a corresponding type according to the target data item information, the warehoused data, the incidence relation among the data items and the data display mode, and filling the chart in a blank display area to generate a visual incidence chart.
The invention also provides a terminal device, which is characterized by comprising a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor is used for executing the computer program stored in the memory to realize the operation executed by the data visualization processing method.
The present invention also provides a storage medium, wherein the storage medium stores at least one instruction, and the instruction is loaded and executed by a processor to implement the operation performed by the data visualization processing method.
Through the data visualization processing method, the data visualization processing system, the terminal device and the storage medium, the relevance among the data can be visually and obviously displayed, and the accuracy and the efficiency of data analysis are improved.
Drawings
The above features, technical features, advantages and implementations of a data visualization processing method, system, terminal device and storage medium will be further described in the following detailed description of preferred embodiments in a clearly understandable manner with reference to the accompanying drawings.
FIG. 1 is a flow chart diagram of one embodiment of a data visualization process method of the present invention;
FIG. 2 is a flow chart of another embodiment of a data visualization process method of the present invention;
FIG. 3 is a schematic diagram of a data visualization system according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of one embodiment of a computer device of the present invention;
FIG. 5 is a schematic representation of the effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 6 is a schematic representation of another effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 7 is a schematic representation of another effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 8 is a schematic representation of another effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 9 is a schematic illustration of another effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 10 is a schematic representation of another effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 11 is a schematic illustration of another effect of the data visualization process of the visual analysis tool of the present invention;
FIG. 12 is a schematic representation of another effect of the data visualization process of the visual analysis tool of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
The data visualization processing method provided by the embodiment of the application can be applied to the terminal device shown in fig. 4. The terminal equipment comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a data visualization processing method. The display screen of the terminal equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the terminal equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the terminal equipment, an external keyboard, a touch pad or a mouse and the like. The terminal device related to the present application may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, and the like, and the present application does not limit this.
Those skilled in the art will appreciate that the structure shown in fig. 4 is a block diagram of only a portion of the structure associated with the present application, and does not constitute a limitation on the terminal device to which the present application applies, and that a particular terminal device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
At present, a commonly used display method of a data chart on a terminal device has a single display form, and cannot support multi-chart form display of multiple data type information, such as: and if the display is carried out according to one chart of one data type of time, region, type and the like, only one chart can be presented on the display page, and the presented data content is only one data type. The application provides a data display method, which aims to solve the problems that in the prior art, the display form is single, the multi-chart form display of various data type information cannot be supported, and the data processing and analyzing efficiency is low.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a flowchart of a data visualization processing method according to an embodiment. The embodiment relates to a process of displaying chart data which a user wants to view by a terminal device according to target information input by the user. The execution main body of the method is terminal equipment, and an application program with a chart data viewing function is installed on the terminal equipment. As shown in fig. 1, the method comprises the steps of:
s100, acquiring data and performing standardized warehousing on the acquired data;
s200, analyzing to obtain the incidence relation among the data items in the stored data;
s300, generating a corresponding visual association diagram according to the stored data and the association relationship among the data items.
Specifically, in this embodiment, the user may provide data and import the data, or extract the data and import the data through a third-party platform. Through the automatic data cleaning process, the data standardization and the labeling warehousing are realized. Based on the data which is put in storage, an analysis algorithm such as graph calculation is used, or flexible desktop end data visualization cognitive analysis software is used, so that the association relation among the data items is obtained. After the incidence relation among the data items in the put-in data is obtained, the data is displayed by using multiple graphs, and a user can also select the incidence relation of different dimensions to generate a corresponding visual incidence graph to display the data.
The invention aims to perform deep analysis and data mining based on data of different sources and different formats. The method comprises the steps of acquiring data of different sources and different formats, and processing the acquired data through an automatic data cleaning process so as to realize data standardization and labeling warehousing. The flexible desktop end data visualization cognitive analysis software is used for helping a user to analyze collected data of any type and format, and the corresponding visualization association graph is generated through association relations of different dimensions to display the data, so that valuable clues and rules can be clearly and effectively obtained, the user can conveniently and intuitively display the association between the data, and the accuracy and the efficiency of data analysis are improved.
In an embodiment of the present invention, as shown in fig. 2, a data visualization processing method includes:
s110, acquiring required data according to data analysis requirements;
specifically, the user provides the required data according to the data analysis requirement, and the required data can be acquired through a third-party platform according to the data analysis requirement.
S120, carrying out unified format processing on the data content of the acquired data according to a preset data tag format;
specifically, the data may have different data formats due to sources or personal habits, and therefore, the acquired data may be regarded as unstructured data, and the unstructured data is subjected to unified format data. The following are exemplary:
the unified format adopted by the article is: WXXXXXXX.
The event adopts a unified format as follows: SXXXXXX.
The unified format adopted by the characters is: PXXXXX. For example, Zhang three corresponds to P sheets three.
The event occurrence time adopts a unified format as follows: X/X/X-X/X/X. For example, the occurrence time of a certain event is 29 minutes 30 seconds at 12 months, 12 days, 17 o' clock in 2019, and can be converted into 2019/12/12/-17/29/30 according to the adopted unified format. The above is only an example of performing unified format processing on unstructured data, and a new unified format may be set according to user requirements and habits, which is not limited herein.
S130, importing the data with the uniform data content format into a database of a visual analysis tool;
specifically, an effect diagram obtained by clicking an add control button, importing excel and csv data, and importing data with a uniform data content format into a database of a visual analysis tool is shown in fig. 5.
Firstly, a user can screen data, and the screening rule is as follows:
1. the user clicks the advanced screening button to enter the advanced screening frame, and the effect graph of the advanced screening frame is shown in fig. 6.
2. The advanced screening has two frames, a parallel frame and an or frame, and the relation between the two frames is parallel or the user can check.
3. The condition relation of the client in the combined frame is 'yes', the relation of the client in the 'OR' frame is 'OR', the user checks the relation of the two frames, clicks and executes
4. The data result changes accordingly.
And the user clicks to confirm or cancel and exits from the advanced filter.
The visual analysis tool is provided with a corresponding template, a user selects the imported template when importing data, then selects a required column to import on the basis of the template, and selects the corresponding template (a bill template, a call bill template and the like) when importing data, otherwise, the template cannot be imported, so that standardized warehousing is realized.
S210, performing data calculation and data analysis on the database-entered data according to a target graph algorithm to obtain an incidence relation among data items;
in particular, graph algorithms are one of the tools for graph analysis. Graph algorithms provide a most efficient way to analyze the connected data, describing how to process graphs to find some qualitative or quantitative conclusions. Graph algorithms are based on graph theory, and use relationships between nodes to infer structure and variations of complex systems. Graph algorithms include centrality algorithms (e.g., page ranking algorithms, document ranking algorithms), community discovery algorithms (e.g., tag propagation algorithms, connected component algorithms), path finding algorithms, similarity algorithms, link prediction algorithms, and so forth. And selecting a corresponding graph algorithm as a target graph algorithm according to requirements to perform data calculation and data analysis on the database-entered data to obtain the association relation among the data items.
The user enters a numerical analysis system or a visual analysis tool and selects a descriptive statistical analysis function. The descriptive statistical analysis function has three boxes, box 1 for placing fields, box 2 for selecting the type of descriptive statistical analysis, and box 3 for displaying the corresponding results. Wherein, the function in the framework 2 includes at least: sum (i.e., sum over all data), average (i.e., average over all data), maximum (i.e., maximum over all data), minimum (i.e., minimum over all data), range (i.e., difference between maximum and minimum over all data), count (i.e., number of statistics to which), earliest and latest time (i.e., calculate earliest or latest time), mode (i.e., calculate the most number of records in the field over all data). The user drags the field into the frame 1, clicks to select the corresponding calculation function, and clicks to execute, and the corresponding result is displayed below in a list form. The fields are used as the vertical axis of the list, the functions are used as the horizontal axis, the list can be exported by clicking [ export ], and the list can be exported by clicking [ visual analysis ].
S310, obtaining the selected data display mode according to the user input information;
specifically, after the data is imported into the database of the visual analysis tool, the visual control button of the UI interface of the visual analysis tool is clicked, so that the visual analysis tool displays different data display modes to the user, as shown in fig. 7. The user input selects the corresponding chart type (i.e., the data presentation mode of the present invention). Chart types include line graphs, area graphs, bar graphs, pie graphs, donut graphs, stacked line graphs, stacked area graphs, stacked bar graphs, and the like.
S320, capturing target data item information of a blank multidimensional region;
specifically, the multi-dimensional region includes a two-dimensional region and a three-dimensional region. The two-dimensional area comprises blank frame bodies corresponding to the x axis and the y axis, and the three-dimensional area comprises blank frame bodies corresponding to the x axis, the y axis and the z axis. Exemplarily, as shown in fig. 8, according to a data analysis requirement of a user, any data item is dragged into a blank frame corresponding to an x-axis, and any data item is dragged into a blank frame corresponding to a y-axis, where a background implements extraction of a set core data item.
S330, generating a chart of a corresponding type according to the target data item information, the stored data, the incidence relation among the data items and the data display mode, and filling the chart in a blank display area to generate a visual incidence chart.
Specifically, the background generates a visual association diagram of a corresponding type according to target data item information, stored data, association relations among data items and a data display mode of the multidimensional region. For example, as shown in fig. 8, the user drags the call date data item corresponding to the calling number 682049544 into the blank frame corresponding to the x-axis, and drags the call duration corresponding to the calling number 682049544 into the blank frame corresponding to the y-axis. If the user selected chart type is a line graph, then the chart generated by the numerical analysis system or visual analysis tool is shown in FIG. 9. Of course, if the user selected chart type is an area chart, then the chart generated by the numerical analysis system or visual analysis tool is shown in FIG. 10.
For example, as shown in fig. 8, the user drags the call date data item corresponding to the calling number 682049544 into the blank frame corresponding to the x-axis, and drags the called number data item into the blank frame corresponding to the y-axis. If the user selected chart type is a line graph, then the chart generated by the numerical analysis system or visual analysis tool is shown in FIG. 11. By the above example, the call date data items corresponding to the calling number 682049544 in the blank frame corresponding to the x-axis are dragged by the user, the data items interested by the user are dragged by the user into the blank frame corresponding to the y-axis, or the data items selected according to the analysis requirement of the user, and by the above manner, the generated multiple charts are simultaneously filled in the blank display area of the numerical analysis system or the visual analysis tool, so that the visual association diagram is generated as shown in fig. 12.
Preferably, the Document object is an object bridging QT C + + and JS, the QT opens a receiveText slot function of the Document object to JS, the method is called to receive the selected data item when dragging data to a blank frame corresponding to the corresponding x axis and a blank frame corresponding to the y axis in the HTML page, and finally a sendText (constqbyterarray & text) signal is sent to JS to notify the HTML page of receiving the returned graph.
The invention aims to perform deep analysis and data mining based on data of different sources and different formats. The method comprises the steps of acquiring data of different sources and different formats, and processing the acquired data through an automatic data cleaning process so as to realize data standardization and labeling warehousing. The flexible desktop end data visualization cognitive analysis software is used for helping a user to analyze collected data of any type and format, and the corresponding visualization association graph is generated through association relations of different dimensions to display the data, so that valuable clues and rules can be clearly and effectively obtained, the user can conveniently and intuitively display the association between the data, and the accuracy and the efficiency of data analysis are improved. The method can support multi-chart form display of various data type information, so that charts displayed by the display method have diversity, and the processing and analyzing efficiency of data is improved.
One embodiment of the present invention, as shown in fig. 3, is a data visualization processing system, including:
the acquisition import module 10 is used for acquiring data and performing standardized warehousing on the acquired data;
the data analysis module 20 is configured to analyze an association relationship between data items in the data already stored in the database;
and the visual display module 30 is configured to generate a corresponding visual association diagram according to the stored data and the association relationship between the data items.
Based on the foregoing embodiment, the acquisition import module 10 includes:
the data acquisition unit is used for acquiring required data according to the data analysis requirement;
the data processing unit is used for carrying out unified format processing on the data content of the acquired data according to a preset data label format;
and the data import unit is used for importing the data with the uniform data content format into a database of the visual analysis tool.
Based on the foregoing embodiment, the data analysis module 20 includes:
and the calculation analysis unit is used for performing data calculation and data analysis on the database-entered data according to the target graph algorithm to obtain the association relation among the data items.
Based on the foregoing embodiment, the visualization display module 30 includes:
the information acquisition unit is used for acquiring the selected data display mode according to the user input information;
the information grabbing unit is used for grabbing target data item information of a blank multi-dimensional area;
and the image generation unit is used for generating a chart of a corresponding type according to the target data item information, the warehoused data, the incidence relation among the data items and the data display mode, and filling the chart in a blank display area to generate a visual incidence chart.
Specifically, this embodiment is a device embodiment corresponding to the method embodiment, and specific effects refer to the method embodiment, which is not described in detail herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of program modules is illustrated, and in practical applications, the above-described distribution of functions may be performed by different program modules, that is, the internal structure of the apparatus may be divided into different program units or modules to perform all or part of the above-described functions. Each program module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one processing unit, and the integrated unit may be implemented in a form of hardware, or may be implemented in a form of software program unit. In addition, the specific names of the program modules are only used for distinguishing the program modules from one another, and are not used for limiting the protection scope of the application.
One embodiment of the present invention, as shown in fig. 4, a terminal device 100, includes a processor 110, a memory 120, wherein the memory 120 is used for storing a computer program 121; the processor 110 is configured to execute the computer program 121 stored in the memory 120 to implement the data visualization processing method in the method embodiment corresponding to any one of fig. 1-2.
The terminal device 100 may be a desktop computer, a notebook, a palm computer, a tablet computer, a mobile phone, a human-computer interaction screen, or the like. The terminal device 100 may include, but is not limited to, a processor 110, a memory 120. Those skilled in the art will appreciate that fig. 3 is merely an example of the terminal device 100, does not constitute a limitation of the terminal device 100, and may include more or less components than those shown, or combine certain components, or different components, such as: the terminal device 100 may also include input/output interfaces, display devices, network access devices, communication buses, communication interfaces, and the like. A communication interface and a communication bus, and may further include an input/output interface, wherein the processor 110, the memory 120, the input/output interface and the communication interface complete communication with each other through the communication bus. The memory 120 stores a computer program 121, and the processor 110 is configured to execute the computer program 121 stored in the memory 120 to implement the data visualization processing method in the method embodiment corresponding to any one of fig. 1 to fig. 2.
The Processor 110 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 120 may be an internal storage unit of the terminal device 100, such as: hard disk or memory of the terminal device. The memory may also be an external storage device of the terminal device, such as: the terminal equipment is provided with a plug-in hard disk, an intelligent memory Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like. Further, the memory 120 may also include both an internal storage unit and an external storage device of the terminal device 100. The memory 120 is used for storing the computer program 121 and other programs and data required by the terminal device 100. The memory may also be used to temporarily store data that has been output or is to be output.
A communication bus is a circuit that connects the described elements and enables transmission between the elements. For example, the processor 110 receives commands from other elements through the communication bus, decrypts the received commands, and performs calculations or data processing according to the decrypted commands. The memory 120 may include program modules such as a kernel (kernel), middleware (middleware), an Application Programming Interface (API), and applications. The program modules may be comprised of software, firmware or hardware, or at least two of the same. The input/output interface forwards commands or data entered by a user via the input/output interface (e.g., sensor, keyboard, touch screen). The communication interface connects the terminal device 100 with other network devices, user equipment, networks. For example, the communication interface may be connected to a network by wire or wirelessly to connect to external other network devices or user devices. The wireless communication may include at least one of: wireless fidelity (WiFi), Bluetooth (BT), Near Field Communication (NFC), Global Positioning Satellite (GPS) and cellular communications, among others. The wired communication may include at least one of: universal Serial Bus (USB), high-definition multimedia interface (HDMI), asynchronous transfer standard interface (RS-232), and the like. The network may be a telecommunications network and a communications network. The communication network may be a computer network, the internet of things, a telephone network. The terminal device 100 may be connected to the network through a communication interface, and a protocol by which the terminal device 100 communicates with other network devices may be supported by at least one of an application, an Application Programming Interface (API), middleware, a kernel, and a communication interface.
In an embodiment of the present invention, a storage medium stores at least one instruction, and the instruction is loaded and executed by a processor to implement the operation performed by the corresponding embodiment of the data visualization processing method in any one of fig. 1 to fig. 2. For example, the storage medium may be a read-only memory (ROM), a Random Access Memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
They may be implemented in program code that is executable by a computing device such that it is executed by the computing device, or separately, or as individual integrated circuit modules, or as a plurality or steps of individual integrated circuit modules. Thus, the present invention is not limited to any specific combination of hardware and software.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or recited in detail in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units may be stored in a storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by sending instructions to relevant hardware by the computer program 121, where the computer program 121 may be stored in a storage medium, and when the computer program 121 is executed by a processor, the steps of the above-described embodiments of the method may be implemented. The computer program 121 may be in a source code form, an object code form, an executable file or some intermediate form, etc. The storage medium may include: any entity or device capable of carrying the computer program 121, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content of the storage medium may be increased or decreased as appropriate according to the requirements of legislation and patent practice in the jurisdiction, for example: in certain jurisdictions, in accordance with legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunications signals.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A data visualization processing method is characterized by comprising the following steps:
acquiring data and performing standardized warehousing on the acquired data;
analyzing to obtain the incidence relation among all data items in the stored data;
and generating a corresponding visual association diagram according to the stored data and the association relationship among the data items.
2. The data visualization processing method according to claim 1, wherein the acquiring data and performing standardized warehousing on the acquired data comprises the steps of:
acquiring required data according to data analysis requirements;
performing unified format processing on the data content of the acquired data according to a preset data tag format;
and importing the data with the uniform data content format into a database of the visual analysis tool.
3. The data visualization processing method according to claim 1, wherein the analyzing to obtain the association relationship between the data items in the warehoused data comprises the steps of:
and performing data calculation and data analysis on the database-entered data according to the target graph algorithm to obtain the incidence relation among the data items.
4. The data visualization processing method according to any one of claims 1 to 3, wherein the generating of the corresponding visualization association map according to the association relationship between the binned data and each data item includes the steps of:
obtaining a selected data display mode according to user input information;
capturing target data item information of a blank multidimensional area;
generating a chart of a corresponding type according to the target data item information, the warehoused data, the incidence relation among the data items and the data display mode, and filling the chart in a blank display area to generate a visual incidence chart.
5. A data visualization processing system, comprising:
the acquisition and import module is used for acquiring data and performing standardized warehousing on the acquired data;
the data analysis module is used for analyzing and obtaining the incidence relation among the data items in the stored data;
and the visual display module is used for generating a corresponding visual association diagram according to the stored data and the association relationship among the data items.
6. The data visualization processing system of claim 5, wherein the acquisition import module comprises:
the data acquisition unit is used for acquiring required data according to the data analysis requirement;
the data processing unit is used for carrying out unified format processing on the data content of the acquired data according to a preset data label format;
and the data import unit is used for importing the data with the uniform data content format into a database of the visual analysis tool.
7. The data visualization processing system of claim 5, wherein the data analysis module comprises:
and the calculation analysis unit is used for performing data calculation and data analysis on the database-entered data according to the target graph algorithm to obtain the association relation among the data items.
8. The data visualization processing system of any one of claims 5 to 7, wherein the visualization presentation module comprises:
the information acquisition unit is used for acquiring the selected data display mode according to the user input information;
the information grabbing unit is used for grabbing target data item information of a blank multi-dimensional area;
and the image generation unit is used for generating a chart of a corresponding type according to the target data item information, the warehoused data, the incidence relation among the data items and the data display mode, and filling the chart in a blank display area to generate a visual incidence chart.
9. A terminal device, comprising a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the processor is configured to execute the computer program stored in the memory to implement the operations performed by the data visualization processing method according to any one of claims 1 to 4.
10. A storage medium having stored therein at least one instruction, which is loaded and executed by a processor to perform the operations performed by the data visualization processing method according to any one of claims 1 to 4.
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