CN112685494A - Data visualization method, device, equipment and medium - Google Patents
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Abstract
The embodiment of the specification discloses a data visualization method, which comprises the following steps: acquiring original data, and performing data format conversion on the original data to generate converted data, wherein the converted data accords with a data format rule of a visualization tool; editing the converted data by using the visualization tool to obtain data visualization elements; editing the data visualization elements by using a data visualization engine to obtain data visualization scene data; and obtaining a data visualization resource file according to the data visualization scene data, wherein the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data visualization method, apparatus, device, and medium.
Background
Data visualization is a data processing and displaying mode, and the data visualization technology aims to display data through multimedia, vision and other technologies, help people to understand meanings of data to be transmitted more intuitively, and provide rich and colorful displaying effects. The current data visualization technology has a plurality of limitations, such as single expression form (2D chart is more), and some data meanings are difficult to express; lack of interactivity and poor user experience; the cross-platform performance is poor; no service attributes, etc.
In view of the above, there is a need for more efficient and effective data visualization schemes.
Disclosure of Invention
Embodiments of the present specification provide a data visualization method, apparatus, device, and medium, so as to solve a technical problem of how to perform data visualization more effectively and efficiently.
In order to solve the above technical problem, the embodiments of the present specification provide the following technical solutions:
an embodiment of the present specification provides a data visualization method, including:
acquiring original data, and performing data format conversion on the original data to generate converted data, wherein the converted data accords with a data format rule of a visualization tool;
editing the converted data by using the visualization tool to obtain data visualization elements;
editing the data visualization elements by using a data visualization engine to obtain data visualization scene data;
and obtaining a data visualization resource file according to the data visualization scene data, wherein the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
An embodiment of the present specification provides a data visualization apparatus, including:
the data conversion module is used for acquiring original data and performing data format conversion on the original data to generate converted data, and the converted data accords with a data format rule of a visualization tool;
the first editing module is used for editing the converted data by using the visualization tool to obtain data visualization elements;
the second editing module is used for editing the data visualization elements by using a data visualization engine to obtain data visualization scene data;
and the resource generation module is used for obtaining a data visualization resource file according to the data visualization scene data, and the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
An embodiment of the present specification provides a data visualization apparatus, including:
at least one processor;
and the number of the first and second groups,
a memory communicatively coupled to the at least one processor;
wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform the data visualization method described above.
Embodiments of the present specification provide a computer-readable storage medium storing computer-executable instructions, which when executed by a processor implement the data visualization method described above.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
the embodiment of the specification can improve the efficiency of data intercommunication of different platforms or different types through data conversion, thereby realizing cross-platform data utilization and data visual display; the embodiment of the specification can provide data visualization elements and data visualization scenes which are richer in expression form and visual effect, stronger in interactivity and cross-platform performance and richer in service attribute by editing the converted data; according to the embodiment of the specification, by generating the data visualization resource file, the data visualization resource which is effective and practical and can be deployed by multiple platforms can be constructed, and the data visualization display efficiency and the universality are improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments of the present specification or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic diagram of an implementation subject of the data visualization method in the first embodiment of the present specification.
Fig. 2 is a flowchart illustrating a data visualization method according to a first embodiment of the present disclosure.
Fig. 3 is a schematic diagram of an execution body architecture in the first embodiment of the present specification.
Fig. 4 is a schematic structural diagram of a data visualization apparatus in a second embodiment of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.
Data visualization is a data processing and displaying mode, and the data visualization technology aims to display data through multimedia, vision and other technologies, help people to understand meanings of data to be transmitted more intuitively, and provide rich and colorful displaying effects. The current data visualization technology has a plurality of limitations, such as single expression form (2D chart is more), and some data meanings are difficult to express; lack of interactivity and poor user experience; the cross-platform performance is poor; no service attributes, etc.
A first embodiment (hereinafter, referred to as "this embodiment") of this specification provides a data visualization method, where an execution subject of this embodiment may be a terminal (including but not limited to a mobile phone, a computer, a pad, and a television) or a server or an operating system or a data visualization platform or a data visualization system or an application program, that is, the execution subject may be various, and may be set, used, or transformed as needed. In addition, a third party application may assist the execution subject in executing the present embodiment. For example, as shown in fig. 1, the data visualization method in this embodiment may be executed by a server, and an application program (corresponding to the server) may be installed on a terminal (held by a user), and data transmission may be performed between the terminal or the application program and the server, and data collection or input or output may be performed by the terminal or the application program, or a page or information presentation or processing may be performed (to the user), so as to assist the server in executing the data visualization method in this embodiment.
As shown in fig. 2, the data visualization method in the present embodiment includes:
s101: the method comprises the steps that (an execution main body) original data are obtained, data format conversion is carried out on the original data to generate converted data, and the converted data accord with data format rules of a visualization tool;
in this embodiment, the execution subject may obtain the raw data, and the raw data may be data to be displayed in the data visualization. For example, the executing agent may call an interface with other agents (including a terminal or a server) to obtain data of the other agents as raw data.
After the execution subject acquires the original data, the original data may be subjected to data format conversion, so as to generate converted data, which is not referred to as converted data. In particular, the raw data may be a wide variety of industry data, including but not limited to one or more of big data, GIS data, LBS data, BIM data, and IoT data. The diversity of the original data indicates the rich data source of data visualization, and no business data support is provided by the upper data visualization application program. Taking the GIS data as an example, the execution subject of the embodiment supports format conversion of common GIS data formats such as vector data, image data, terrain data, oblique photography data, and the like.
In this embodiment, the transformation data conforms to the data format rule of the visualization tool, i.e. the transformation data is readable data of the visualization tool, so that the transformation data can be directly used by the visualization data. If one visualization tool exists, one type of conversion data can be generated, and the type of conversion data conforms to the data format rule of the visualization tool; if there are multiple visualization tools, then transformed data can be generated that conforms to the data formatting rules for each visualization tool.
Through data conversion, multiple data protocols and structures can be compatible, and different types of original data can be butted with each front-end main body (including but not limited to a PC, a browser, an APP and an applet) according to a uniform data protocol or structure after data conversion.
In this embodiment, the execution main body may have a display screen. For example, if the execution subject is a terminal or an application on the terminal, the terminal has a display screen; if the execution agent is a server, as described above, an application may communicate with the server via the display screen of the terminal where the application is located. The information display of the execution subject may be performed through the display screen.
In this embodiment, the execution subject may obtain the data conversion request. For example, the execution agent may display a corresponding function button, and the data conversion function or the data conversion condition is triggered by clicking the function button, so that the execution agent obtains the data conversion request, that is, the data conversion request may be triggered by the user. The present embodiment does not limit how the data conversion function is triggered or the data conversion condition is satisfied.
After the execution subject obtains the data conversion request, the data visualization demand data can be determined according to the data conversion request. The obtaining of the data conversion request and the determining of the data visualization requirement data according to the data conversion request may include: after the data conversion request is obtained, displaying a visual configuration item, obtaining feedback data of the visual configuration item, and determining data visualization demand data according to the feedback data of the visual configuration item.
Specifically, after the execution subject obtains the data conversion request, the execution subject may display a visualization configuration item, where the visualization configuration item is used to configure data visualization demand data. The user can configure the data visualization requirement data through the visualization configuration item through selection or input or other modes, for example, the visualization configuration item can have an option for the user to select, or the visualization configuration item can have an input box for the user to input. The data visualization requirement data includes, but is not limited to, data visualization display type requirement data, the data visualization display type requirement data is used for defining a data visualization display type, such as an animation display, a 3D display, and the like, and a user can select or input or otherwise configure a required data visualization display type through a visualization configuration item.
Correspondingly, after the user performs an operation (including but not limited to the selection or input operation) through the visualization configuration item, the execution subject may obtain the visualization configuration item feedback data according to the operation of the user, the visualization configuration item feedback data may include data visualization demand data configured by the user, and the execution subject may determine the data visualization demand data according to the visualization configuration item feedback data. If the execution main body is the terminal or the application program on the terminal, the execution main body can acquire feedback data of the visual configuration item after the user operates the terminal or the application program on the terminal; if the execution main body is the server, after the user operates the terminal or the application program on the terminal, the terminal or the application program on the terminal generates the feedback data of the visual configuration item and sends the feedback data of the visual configuration item to the server, so that the server obtains the feedback data of the visual configuration item.
S103: (execution subject) editing the converted data using the visualization tool to obtain data visualization elements;
after the execution subject generates the conversion data, the visualization tool can be used for editing the conversion data to obtain the data visualization elements. Wherein the visualization tool may be a digital content authoring (DCC) tool for constructing and/or editing digital content. Digital content authoring tools include, but are not limited to, Maya, 3ds Max, Photoshop, and Houdini. The digital content standard of the digital content authoring tool may be determined from the (user-configured) data visualization requirements data described above.
The data visualization elements include, but are not limited to, three-dimensional mesh data and/or texture bitmaps and/or animation data, and the execution subject may edit the data visualization elements using a visualization tool. The execution subject can determine attribute data of the data visualization elements according to the data visualization demand data, so that the data visualization elements obtained by the execution subject are in accordance with the attribute data of the data visualization elements. The data visualization element has a data format readable by the data visualization engine, i.e., the data visualization element obtained by the execution subject using the visualization tool is readable by the data visualization engine.
S105: the data visualization element is edited by using a data visualization engine to obtain data visualization scene data;
after the execution subject obtains the data visualization elements, the data visualization elements may be edited using a data visualization engine to obtain data visualization scene data. Data visualization engines include, but are not limited to, Unity3D or universal Engine or other game engines.
In this embodiment, the editing the data visualization element by using the data visualization engine to obtain data visualization scene data may include: and rendering and/or scene editing and/or visual effect editing and/or animation editing and/or collision system and/or physical system and/or multi-person online editing and/or artificial intelligence editing and/or cross-platform editing are carried out on the data visualization elements by using a data visualization engine to obtain data visualization scene data. The execution subject can determine the attribute data of the data visualization scene data according to the data visualization demand data, so that the data visualization scene data obtained by the execution subject is in accordance with the attribute data of the data visualization scene data.
Through the editing of the data visualization elements by the data visualization engine, a 3D scene can be built according to business requirements, visual effects, animations, logics and interaction are designed, 2D/3D linkage and the like are realized, and thus the data visualization scene can be exported to each platform.
In this embodiment, the execution subject may encapsulate the service attribute content of the service corresponding to the data visualization application scenario (e.g., a consumption internet scenario or an industry internet scenario), and generate the service data module, so that the service attribute may be provided to the user in a modular form for use, which is convenient for the user to quickly use the data visualization content with rich service attributes, and meets the user's requirements for various data visualization application scenarios.
In particular, the execution agent may place the data visualization engine in an Integrated Development Environment (IDE) including, but not limited to, Visual Studio Code, Xcode, Eclipse, Intellij IDEA, or Navicat, where the execution agent may perform the above-described editing of transformed data, editing of data visualization elements, and Code editing, compiling, and debugging.
In this embodiment, the execution subject may provide data content production, visual effect design or software development, etc. using multimedia, visual communication, or software engineering. Specifically, the executive body can edit or manage text, data, graphics, images, animations or sounds or other media information by using multimedia, so that a user can interact with the computer through various senses in real time; the execution subject can use visual transmission to transmit information to the user, interaction experience is improved, and functionality is emphasized; the execution agent may use software engineering to edit or manage programming languages, databases, software development tools, system platforms, standards or design schemas, or other content, including building and maintaining efficient, practical, and high quality applications through engineering methods.
S107: and (an execution subject) obtaining a data visualization resource file according to the data visualization scene data, wherein the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
In this embodiment, the execution subject may obtain (generate) a data visualization resource file according to the data visualization scene data, where the data visualization resource file may be accessed by an application program (the application program includes but is not limited to a desktop end program, an APP, a browser, or an applet), for example, the data visualization resource file may be an installation package, and the universality is higher. And when the data visualization resource file is accessed by an application program, performing data visualization display through the application program, wherein the data visualization display content is the original data.
The architecture of the execution main body of the embodiment may be as shown in fig. 3, where the data conversion module may be performed by a data console module of the execution main body, the conversion data may be read by a DCC tool, and the data visualization element may be read by a game engine.
In the embodiment, the data center is used as a processing center for business data of consumption internet and industry internet, and the data intercommunication efficiency of different platforms or different types can be improved through data conversion, so that cross-platform data utilization, data intercommunication and data visual display can be realized; in the embodiment, the converted data is edited, so that data visualization elements and data visualization scenes with richer expression forms and visual effects, stronger interactivity and cross-platform performance and richer service attributes can be provided; according to the embodiment, by generating the data visualization resource file, the data visualization resource which is effective and practical and can be deployed by multiple platforms (or multiple application programs) can be constructed, and the data visualization display efficiency and the universality are improved.
In particular, in this embodiment, the front-end application program reads the data visualization resource file to perform data visualization display, and the back-end execution main body is responsible for implementing this embodiment, so that not only can the data visualization display of various types of application programs such as a desktop, an APP, a browser, and an applet be supported, but also the data intercommunication between the front end and the back end can be maintained, the working coupling degree between the front end and the back end can be reduced, the data visualization efficiency can be improved,
particularly, in the embodiment, through the data conversion step, the original data can be converted into the usable data of various visualization tools, and the data requirements of the various visualization tools can be met. When different data visualization tools are needed to be used for data editing, the data source of the original data does not need to be changed to obtain the original data meeting the data format requirement of the visualization tool, but the original data can be converted into the data meeting the data format requirement of the visualization tool through a data conversion step, so that the data visualization efficiency is improved. For example, the execution subject acquires original data through an interface a, and if editing is performed using a visualization tool a, the original data acquired from the interface a is converted into data readable by the visualization tool a through data conversion; when editing is performed using the visualization tool B, the raw data acquired from the interface a is converted into data readable by the visualization tool B through data conversion without changing the source of the raw data.
Particularly, the user can freely customize data visualization demand data through the visualization configuration items, and the data visualization elements, the data visualization scene data and the data visualization display effect generated by the execution subject all conform to the data visualization demand data, so that the personalized demand of data visualization is met.
As shown in fig. 4, a second embodiment of the present specification provides a data visualization apparatus, including:
the data conversion module 202 is configured to acquire original data, perform data format conversion on the original data to generate converted data, where the converted data conforms to a data format rule of a visualization tool;
a first editing module 204, configured to edit the converted data using the visualization tool, so as to obtain a data visualization element;
the second editing module 206 is configured to edit the data visualization elements by using a data visualization engine to obtain data visualization scene data;
the resource generation module 208 is configured to obtain a data visualization resource file according to the data visualization scene data, where the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
Optionally, the apparatus further comprises:
and the requirement setting module is used for acquiring the data conversion request and determining the data visualization requirement data according to the data conversion request.
Optionally, obtaining a data conversion request, and determining data visualization requirement data according to the data conversion request includes:
after the data conversion request is obtained, displaying a visual configuration item, obtaining feedback data of the visual configuration item, and determining data visualization demand data according to the feedback data of the visual configuration item.
Optionally, the first editing module 204 is further configured to: and determining attribute data of the data visualization elements according to the data visualization demand data.
Optionally, the visualization tool is a digital content creation tool, and the digital content standard is determined according to the data visualization demand data.
Optionally, the data visualization element comprises three-dimensional mesh data and/or texture bitmap and/or animation data, the data visualization element having a data format readable by the data visualization engine.
Optionally, the editing the data visualization element by using a data visualization engine to obtain data visualization scene data includes:
and rendering and/or scene editing and/or visual effect editing and/or animation editing and/or collision system and/or physical system and/or multi-person online editing and/or artificial intelligence editing and/or cross-platform editing are carried out on the data visualization elements by using a data visualization engine to obtain data visualization scene data.
Optionally, the second editing module 206 is further configured to: and determining attribute data of the data visualization scene data according to the data visualization demand data.
Optionally, the apparatus further comprises:
and the attribute encapsulation module is used for encapsulating the service attribute of the service corresponding to the data visualization application scene to generate a service attribute module.
Optionally, the converted data has one or more data formats, and the converted data in the one or more data formats conforms to the data format rules of the one or more visualization tools.
Optionally, the second editing module 206 is further configured to: the data visualization engine is disposed in an integrated development environment.
A third embodiment of the present specification provides a data visualization apparatus, including:
at least one processor;
and the number of the first and second groups,
a memory communicatively coupled to the at least one processor;
wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of visualizing data as in the first embodiment.
A fourth embodiment of the present specification provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the data visualization method of the first embodiment.
The above embodiments may be used in combination, and the modules with the same name between different embodiments or within the same embodiment may be the same or different modules.
While certain embodiments of the present disclosure have been described above, other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily have to be in the particular order shown or in sequential order to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device, and non-volatile computer-readable storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and in relation to the description, reference may be made to some portions of the description of the method embodiments.
The apparatus, the device, the nonvolatile computer readable storage medium, and the method provided in the embodiments of the present specification correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have similar advantageous technical effects to the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (14)
1. A method of data visualization, comprising:
acquiring original data, and performing data format conversion on the original data to generate converted data, wherein the converted data accords with a data format rule of a visualization tool;
editing the converted data by using the visualization tool to obtain data visualization elements;
editing the data visualization elements by using a data visualization engine to obtain data visualization scene data;
and obtaining a data visualization resource file according to the data visualization scene data, wherein the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
2. The method of claim 1, further comprising:
acquiring a data conversion request, and determining data visualization demand data according to the data conversion request.
3. The method of claim 1, obtaining a data transformation request, determining data visualization requirement data from the data transformation request comprising:
after the data conversion request is obtained, displaying a visual configuration item, obtaining feedback data of the visual configuration item, and determining data visualization demand data according to the feedback data of the visual configuration item.
4. The method of claim 2 or 3, further comprising: and determining attribute data of the data visualization elements according to the data visualization demand data.
5. The method of claim 2 or 3, the visualization tool being a digital content authoring tool, digital content criteria being determined from the data visualization requirements data.
6. The method of claim 1, the data visualization element comprising three-dimensional mesh data and/or texture bitmaps and/or animation data, the data visualization element having a data format readable by the data visualization engine.
7. The method of claim 1, editing the data visualization elements using a data visualization engine, resulting in data visualization scene data comprising:
and rendering and/or scene editing and/or visual effect editing and/or animation editing and/or collision system and/or physical system and/or multi-person online editing and/or artificial intelligence editing and/or cross-platform editing are carried out on the data visualization elements by using a data visualization engine to obtain data visualization scene data.
8. The method of claim 4 or 5, further comprising: and determining attribute data of the data visualization scene data according to the data visualization demand data.
9. The method of claim 1, further comprising:
and encapsulating the service attribute of the service corresponding to the data visualization application scene to generate a service attribute module.
10. The method of claim 1, the transformed data having one or more data formats, the transformed data of the one or more data formats conforming to data format rules of one or more visualization tools.
11. The method of claim 1, further comprising: placing the data visualization engine in an integrated development environment.
12. A data visualization device, comprising:
the data conversion module is used for acquiring original data and performing data format conversion on the original data to generate converted data, and the converted data accords with a data format rule of a visualization tool;
the first editing module is used for editing the converted data by using the visualization tool to obtain data visualization elements;
the second editing module is used for editing the data visualization elements by using a data visualization engine to obtain data visualization scene data;
and the resource generation module is used for obtaining a data visualization resource file according to the data visualization scene data, and the data visualization resource file is used for performing data visualization display through an application program when the data visualization resource file is accessed by the application program.
13. A data visualization device comprising:
at least one processor;
and the number of the first and second groups,
a memory communicatively coupled to the at least one processor;
wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of visualizing data as claimed in any one of claims 1 to 11.
14. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the data visualization method of any one of claims 1 to 11.
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