KR101773781B1 - Method and apparatus for user oriented data visualzation based on the web - Google Patents

Abstract

The present invention relates to a data visualization method which comprises the steps of: collecting data; detecting meta information of data selected from the collected data, and recommending one or more data visualization types based on the meta information; generating visualization content to which the data are applied to a data visualization type selected from the one or more data visualization types; and displaying user-oriented visualization content by editing the visualization content. The data visualization method can display the data visualization type suitable for clear and effective transfer by features of the data.

Description

[0001] METHOD AND APPARATUS FOR USER ORIENTED DATA VISUALIZATION BASED ON THE WEB [0002]

The present invention relates to a data visualization method and apparatus, and more particularly, to a web-based user-oriented data visualization method and apparatus using meta information for user-oriented visualization of data.

With the development of the Internet and the spread of digital devices such as smart phones, various data are increasing rapidly.

In order to extract desired information from the above-mentioned data, a technique for collecting and analyzing data in real time is required. In addition, data visualization is used to easily and quickly understand the extracted information.

The data visualization refers to conveying information through a visual means so that the data analysis result can be easily understood.

The purpose of data visualization is to convey information clearly and effectively through means such as charts or graphs. In response to changes in the presentation and acceptance of data, there is an increasing need for data visualization that visually depicts large amounts of information and efficiently provide the necessary information. Tools that support data visualization include tools built for data management and charting, such as Microsoft's (Microsoft Excel) and Google's (Spreadsheets).

Patent Publication Laid-Open Publication No. 10-2016-0001840 (Title of the invention: Apparatus and method for providing contents, publication date: 2016.01.07)

Accordingly, it is an object of the present invention to provide a web-based user-oriented data visualization method and apparatus that can be displayed in a data visualization type suitable for conveying clearly and effectively according to the characteristics of data.

In order to achieve the above-described object of the present invention and to achieve the specific effects of the present invention described below, the characteristic structure of the present invention is as follows.

According to an aspect of the present invention, there is provided a data visualization method comprising: collecting data; detecting meta information of selected data of the collected data; recommending at least one data visualization type based on the meta information; ; Generating visualization content to which the data is applied to a selected data visualization type of the at least one data visualization type; and editing the visualization content to display user-oriented visualization content.

Advantageously, the step of collecting the data collects the data from at least one external device based on the search word input by the user.

Preferably, the step of detecting the meta information includes the steps of: generating a data list based on the collected data; and when the data selected by the user is received from the data list, the meta information of the selected data is detected Further comprising the steps of:

Advantageously, the step of recommending the data visualization type comprises: matching rules between meta information of the data, meta information of the at least one data visualization type, and meta information of the data and meta information of the at least one data visualization type And the at least one data visualization type for visualizing and representing the data is recommended.

Preferably, the matching rule is managed by adding a new or updated model according to a behavior pattern of a user using a probability-based machine learning (Machine Algorithm) model.

Advantageously, the step of recommending the data visualization type comprises calculating each of the recommendation indices of the at least one data visualization type, and determining at least one of the maximum recommendation exponent of the at least one data visualization type And recommending the at least one data visualization type for visualizing and representing the data as a type of data visualization to be included.

Preferably, the step of editing the visualization content performs at least one of visualization editing or data editing of the visualization content.

Preferably, the meta information of the data includes at least one of a size of data, a number of fields, or characteristics of each field.

According to another aspect of the present invention, there is provided a data visualization apparatus comprising: a data collection unit for collecting data; a metadata collection unit that detects meta information of selected data among the collected data, and recommends at least one data visualization type And generating a visualization content to which the data is applied to the selected data visualization type among the at least one data visualization type, and displaying the user-oriented visualization content by editing the visualization content.

Preferably, the data collecting unit collects the data from at least one external device based on the search word input by the user.

Preferably, the controller generates a data list based on the collected data, and when the data selected by the user is received from the data list, the controller detects meta information of the selected data.

Advantageously, the control unit is operable to generate the data based on meta information of the data, meta information of the at least one data visualization type and meta information of the data and meta information of the at least one data visualization type Characterized in that the at least one data visualization type for visualization is recommended.

Preferably, the matching rule is managed by adding a new or updated model according to a behavior pattern of a user using a probability-based machine learning (Machine Algorithm) model.

Advantageously, the control unit is further configured to: calculate a recommendation index of the at least one data visualization type, respectively, and to provide at least one of a maximum recommendation exponent among the at least one data visualization type, The at least one data visualization type for visualizing and representing the data is recommended.

Preferably, the control unit performs at least one of visualization editing and data editing of the visualization content.

Preferably, the meta information of the data includes at least one of a size of data, a number of fields, or characteristics of each field.

Meanwhile, the information for performing the data visualization method may be stored in a recording medium readable by a server computer. Such a recording medium includes all kinds of recording media in which programs and data are stored so that they can be read by a computer system. Examples thereof include ROMs (Read Only Memory), Random Access Memory, CD (Compact Disk), DVD (Digital Video Disk) -ROM, magnetic tape, floppy disk, optical data storage and the like. Such a recording medium may also be distributed over a networked computer system so that computer readable code in a distributed manner can be stored and executed.

As described above, according to the present invention, it is possible to provide an optimized user-oriented data visualization by recommending a data visualization type suited to the meta information of the data and applying and displaying the data to the data visualization type selected by the user It is effective.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood to those of ordinary skill in the art from the following expectations.

1 is a block diagram schematically illustrating a system to which a data visualization type recommending method according to an embodiment of the present invention is applicable.
2 is a block diagram schematically illustrating a detailed configuration of a server for performing a visualization type recommendation method using meta information according to an embodiment of the present invention.
3 is a flow chart schematically illustrating a data visualization type recommendation method according to an embodiment of the present invention.
4A and 4B are flowcharts detailing a data visualization type recommendation method according to an embodiment of the present invention.
5 is a diagram illustrating at least one type of data visualization in accordance with an embodiment of the present invention.
Figures 6A-6J are schematic diagrams of each of the data visualization type recommendation methods in accordance with an embodiment of the present invention.
FIG. 7 shows an editing screen of a visualization content according to an embodiment of the present invention.
FIG. 8 illustrates a user-oriented visualization content to which a user's editing is applied to a visualization content according to an exemplary embodiment of the present invention.
9 is a diagram schematically illustrating the main functions of a data visualization type recommendation operation according to an embodiment of the present invention.
10 is a block diagram showing a detailed structure of an electronic device according to an embodiment of the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which the claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Unless defined otherwise, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, so that those skilled in the art can easily carry out the present invention.

1 is a block diagram schematically illustrating a system to which a data visualization type recommending method according to an embodiment of the present invention is applicable.

Referring to FIG. 1, the system may include a data visualization type recommendation service server 100, an electronic device 200, and a plurality of external devices 300.

The data visualization type recommendation service server 100, the electronic device 200, and the plurality of external devices 300 may be connected to each other via a network. Although only one electronic device 200 is shown in FIG. 1, a plurality of electronic devices 200 may be coupled to the data visualization type recommendation service server 100. The data visualization type recommendation service server 100, the electronic device 200, and the plurality of external devices 300 can exchange various data and / or information with each other. The network includes a wired or wireless network. A wireless network includes wireless networks of various communication types such as mobile communication, WiBro, short distance communication, sound wave communication, optical communication, radio communication, satellite communication and the like.

The data visualization type recommendation service server 100 provides a list of data corresponding to the query received from the electronic device 200, recommends at least one data visualization type corresponding to the data selected by the user, The data may be applied to at least one data visualization type selected by the user to provide visualization content to the electronic device 200. The data visualization type recommendation service server 100 can provide user-oriented visualization content through editing of the visualization content.

The electronic device 200 transmits a search word input by the user to the data visualization type recommendation service server 100 and transmits data corresponding to the search word to an external device 300). The electronic device 200 may be provided with a software module (e.g., an application) that can receive data corresponding to a query from the data visualization type recommendation service server 100 and notify the user thereof, and the electronic device 200 May download the software module from the external server 300 and perform the software module.

A plurality of external devices 300 may interwork with the data visualization type recommendation service server 100 to provide various data to the electronic device 200. For example, the plurality of external devices 300 may include at least one of a database, an API, and an online storage.

2 is a block diagram schematically illustrating a detailed configuration of a data visualization type recommendation service server for performing a visualization type recommendation method using meta information according to an embodiment of the present invention.

Referring to FIG. 2, the data visualization type recommendation service server 100 includes a communication unit 110 and an input unit 120. An output unit 130, and a storage unit 140. A visualization type meta information database 150, and a matching rule database 160. A control unit 170, a data collecting unit 180, and a power supply unit 190.

The communication unit 110 can communicate with an external device (or a server or the like) by wire or wirelessly. The communication unit 110 may transmit data and / or information received from an external device to the control unit 170 and may transmit data and / or information transmitted from the control unit 170 to the external device.

The input unit 120 receives various information from the server operator. The input unit 120 may include a keypad, a button, a switch, a touch pad, and input means for jog wheels.

The output unit 130 notifies the server operator of various information. The output unit 130 may output information in the form of a text, an image, or a voice. To this end, the output unit 130 may include a display module 131 and a speaker module 132. The display module 131 may be a plasma display panel (PDP), a liquid crystal display (LCD), a thin film transistor (TFT) LCD, an organic light emitting diode (OLED), a flexible display, May be provided in any form well known in the art. The output unit 130 may further comprise any type of output means well known in the art.

The storage unit 140 stores various data and commands. The storage unit 140 may store system software and various applications for operation of the data visualization type recommendation service server 100. The storage unit 140 may be a storage unit such as a RAM (Random Access Memory), a ROM (Read Only Memory), an EPROM (Erasable-Programmable ROM), an EEPROM (Electrically EPROM), a flash memory, a hard disk, a removable disk, Lt; RTI ID = 0.0 > computer-readable < / RTI >

The visualization type meta information database 150 and the matching rule database 160 store various information for data visualization type recommendation. The visualization type meta information database 150 stores meta information defining properties of a plurality of visualization types. The matching rule database 160 stores matching rules between the data and the visualization type. The visualization type meta information database 150 and the matching rule database 160 can provide data management such as retrieving and accessing stored information, adding / changing / deleting information, and the like. The plurality of databases 150, 160 may include flash memory, a hard disk, a removable disk, or any form of computer readable recording medium known in the art.

The control unit 170 controls other components to control the overall operation of the data visualization type recommendation service server 100. The control unit 170 can execute the system software stored in the storage unit 140 and various applications.

The control unit 170 includes a data meta generation module 171, a visualization type meta generation module 172, a visualization type recommendation module 173, a visualization module 174, (175) and a matching rule management module (176). Each of these modules may comprise a hardware module, a software module, or a combination thereof.

The data meta-generating module 171 may analyze the data received from the user and generate meta information defining the characteristics (or attributes) of the data.

The visualization type meta-generating module 172 may analyze a plurality of data visualization types, generate meta information defining characteristics of each data visualization type, and store the meta information in the visualization type meta information database 150. [

The visualization type recommendation module 173 may respectively calculate recommendation indices of the plurality of data visualization types for the data based on the meta information of the data, and recommend the at least one appropriate data visualization type using the calculation results.

The visualization module 174 may display visualization content that applies the data to the visualization type selected by the user.

The visualization editing module 175 may provide an editing function for the visualization content to display the optimized user-oriented visualization content.

The matching rule management module 176 generates a matching rule for recommending a data visualization type, updates a matching rule according to a user's behavior pattern using a probability-based machine learning (Machine Algorithm) model, or adds a new matching rule Rules can be managed.

The data collecting unit 180 collects data corresponding to a search word from at least one of the plurality of external devices 300 or the electronic device 200 interlocked with the data visualization type recommendation service server 100, And can be provided to the device 200.

The data collecting unit 180 may include a plurality of collecting units (not shown) and a processing unit (not shown). The processing unit divides the entire collection range of the data into a plurality of sub-collection ranges, and the collection operation corresponding to the divided sub-collection ranges is divided into a plurality of Respectively. And the processing unit has the number of the collecting operations larger than the number of the collecting units. A plurality of collecting units may allocate some vertical jobs among dozens of preliminary jobs respectively and each time the plurality of collectors finish the allocated vertical jobs, the remaining collecting jobs among the entire collecting jobs may be sequentially allocated.

The power supply unit 190 includes a communication unit 110 and an input unit 120. An output unit 130, and a storage unit 140. A visualization type meta information database 150, and a matching rule database 160. The control unit 170, and the data collecting unit 180. The power supply unit 190 is supplied with power from the outside, and can supply the power to the internal components appropriately converted to the data visualization type recommendation service server 100.

Although not explicitly shown, the data visualization type recommendation service server 100 may further include components not shown in FIG. 2 or may not include some components shown in FIG. 2, some of the components may be separated into a plurality of detailed components, or a plurality of components may be provided by being combined into one component.

1, the data visualization type recommendation service data visualization type recommendation service server 100 may be provided separately from a plurality of servers physically, spatially or functionally separated. In this case, each server may or may not include some of the components shown in FIG.

In the meantime, each component of the apparatus is separately shown in the drawings to indicate that it can be functionally and logically separated, and does not necessarily mean that it is physically a separate component or a separate code.

In this specification, each functional unit (or module) may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, each functional unit may refer to a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and may be a code physically connected to the functional unit, But can be easily deduced to the average expert in the field of the invention.

Also, in this specification, a database may mean a functional and structural combination of software and hardware that stores information corresponding to each database. The database includes all data storage media and data structures capable of storing information corresponding to the database.

The structure of the apparatus according to the embodiment of the present invention has been described with reference to FIG. Hereinafter, a procedure according to an embodiment of the present invention will be described in detail with reference to FIG. 3 and FIG.

3 is a flow chart schematically illustrating a data visualization type recommendation method according to an embodiment of the present invention. Referring to FIG. 3, a description will be made of a case where a visualization type recommendation method according to an embodiment of the present invention is performed by the data visualization type recommendation service server 100. FIG.

Referring to FIG. 3, in operation S310, the data visualization type recommendation service server 100 receives a search word from the electronic device 200, and transmits the data visualization type recommendation service server 100 with a plurality of external devices 300) corresponding to the search word. In addition, the data visualization type recommendation service server 100 may request the electronic device 200 for data related to the search term. The data visualization type recommendation service server 100 may generate a data list corresponding to the search term based on the data collected from the plurality of external devices 300 or the electronic device 200 and provide the data list to the electronic device 200 . The data included in the data list may be sorted and displayed according to a priority criterion, and the priority criterion may include an amount of data, a frequency of use, a user's taste, and the like. The data visualization type recommendation service server 100 may process the whole data according to the size of the collected data and display the data on the data list or only a part of the data may be processed and displayed on the data list to process and display the remaining data.

In step S320, the data visualization type recommendation service server 100 extracts the meta information of the data from the electronic device 200 when the data selected by the user is received. The meta information may include a size of data (e.g., a size of a row and a column, a total number of cells, etc.), a number of fields, and characteristics of each field. A field is an item of data, and may include a specific kind of data. The data visualization type recommendation service server 100 may recommend at least one data visualization type using recommendation algorithms based on meta information of the data, meta information of a plurality of data visualization types, and matching rules. The data visualization type recommendation service server 100 can calculate recommendation indices of a plurality of data visualization types through the recommendation algorithm, respectively. For example, the recommendation index may be calculated based on, but not limited to, whether the field type of the data matches the inputtable data type of each data visualization type, how many matching fields are, and so on. And the data visualization type recommendation service server 100 may recommend at least one data visualization type having a maximum recommendation index among a plurality of data visualization types. Or data visualization type recommendation service server 100 may recommend at least one data visualization type having a recommendation index of a plurality of data visualization types greater than or equal to a reference value.

The data visualization type recommendation service server 100 may provide the visualization content with data applied to each of the at least one data visualization type as a preview function when providing the at least one data visualization type to the electronic device 200 have. The data visualization type recommendation service server 100 may receive data visualization type information selected by the user from the at least one data visualization type from the electronic device 200. [ The data visualization type recommendation service server 100 can be learned for improving the recommendation algorithm together with meta information of data visualization type information selected by the user.

In step S330, the data visualization type recommendation service server 100 may provide the electronic device 200 with the visualization content that has applied the data to the data time type selected by the user. Or the data visualization type recommendation service server 100 may automatically provide the electronic device 200 with visualization content that applies the data to the data visualization type best suited for the data of the at least one data visualization type.

In step S340, the data visualization type recommendation service server 100 may perform at least one of visualization editing or data editing of the visualization content. The data visualization type recommendation service server 100 can set a value while being displayed regardless of the data editing through the visualization editing. The data visualization type recommendation service server 100 can change the column or data area to be represented through the data editing and can perform deletion or addition of data rows and columns and merging of two or more data. The data visualization type recommendation service server 100 attempts to validate the values to visualize the data editing and informs the user of the wrong values or settings. The data visualization type recommendation service server 100 can be provided to the electronic device 200 by applying the editing result of the visualization content in advance or in real time. In addition, the data visualization type recommendation service server 100 can learn the editing result of the visualization content to improve the recommendation algorithm.

In step S350, the data visualization type recommendation service server 100 may provide the electronic device 200 with user-oriented visualization content reflecting the editing result of the visualization content.

4A and 4B are flowcharts detailing a data visualization type recommendation method according to an embodiment of the present invention.

4A and 4B, if the data visualization type recommendation service server 100 receives a search word from the electronic device 200 in step S410, the data visualization type recommendation service server 100 responds to the search word from a plurality of external devices 300 in step S415 Data can be collected. In step S420, the data visualization type recommendation service server 100 requests data corresponding to a search word to the electronic device 200, and in response to the request, the electronic device 200 transmits data corresponding to the search word Data can be uploaded to the data visualization type recommendation service server 100.

In step S430, the data visualization type recommendation service server 100 generates a data list based on the data collected from the plurality of external devices 300 and the electronic device 200, and in step S435, (200).

In step S440, the data visualization type recommendation service server 100 may extract the meta information of the data selected by the user in step S445 when the data information selected by the user is received from the electronic device 200 .

In step S450, the data visualization type recommendation service server 100 detects at least one data visualization type for visualizing the data using a plurality of data visualization type meta information and a recommendation algorithm based on a matching rule, The at least one data visualization type information may be transmitted to the electronic device 200 for recommendation.

In step S460, the data visualization type recommendation service server 100 receives the data visualization type information selected by the user out of the at least one data visualization type from the electronic device 200, and, in step S465, The visualization content applied to the data visualization type selected by the user can be generated.

In step S470, the data visualization type recommendation service server 100 may provide the visualization content to the electronic device 200 and also provide editing functionality for the visualization content.

If editing of the visualization content is performed in the electronic device 200 in step S475, the electronic device 200 may transmit the editing information on the visualization content to the data visualization type recommendation service server 100 in step S480 .

In step S485, the data visualization type recommendation service server 100 generates an optimized user-oriented visualization content reflecting the editing information in the visualization content, and provides the user-oriented visualization content to the electronic device 200 in step S490 .

At least one of the operations shown in FIGS. 3 and 4 may be omitted, and at least one other operation may be added between the operations. 3 and 4 may be processed in the order shown, and the execution order for at least one operation may be changed and processed in accordance with the execution order of the other operation. In addition, the operations shown in FIGS. 3 and 4 may be performed in the electronic device, or may be performed in the server. Further, at least one of the operations shown in FIGS. 3 and 4 may be performed in the electronic device, and the remaining operations may be implemented in the server.

Meanwhile, the method according to an embodiment of the present invention may be implemented in the form of a program command which can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and configured for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Hereinafter, an example of the data visualization type recommending operation according to the embodiment of the present invention will be described with reference to FIGS. 5 to 9. FIG.

5 is a diagram illustrating at least one type of data visualization in accordance with an embodiment of the present invention. Figure 5 illustrates at least one type of data visualization being displayed for the user's selection in the electronic device.

Figures 6A-6J are schematic diagrams of each of the data visualization type recommendation methods in accordance with an embodiment of the present invention. 6A is an Area Chart, FIG. 6B is a Bar Chart, FIG. 6C is a Bubble Chart, FIG. 6D is a Candlestick Chart, FIG. 6E is a Combo Chart, FIG. 6F shows a Geo Chart, FIG. 6G shows a histogram chart, FIG. 6H shows a line chart, FIG. 6I shows a Pie Shart and FIG. 6J shows a scatter chart Respectively.

FIG. 7 shows an editing screen of a visualization content according to an embodiment of the present invention. As shown in FIG. 7, visualization editing and data editing of the visualization content can be performed through selection of "chart editing", and the editing result can be reflected and displayed in real time.

FIG. 8 illustrates a user-oriented visualization content to which a user's editing is applied to a visualization content according to an exemplary embodiment of the present invention. As shown in FIG. 8, the bar chart to which the editing result of the user is applied may be displayed in the display object of the web or programs, and may be implemented through an expression technique such as API or library. The chart in which the user's editing has not been performed but the user's final confirmation has been selected can also be displayed within the web or programs display object and can be implemented through an expression technique such as API or library.

In addition, the bar chart shown in FIG. 8 can be shared with channels such as SNS, and can be evaluated by functions such as a rating cycle. Graph images can be downloaded, and the graph source code can be copied and modified. It is possible to modify and delete the graph image.

9 is a diagram schematically illustrating the main functions of a data visualization type recommendation operation according to an embodiment of the present invention.

Referring to FIG. 9, there is shown a real-time public data search and personal retention data upload operation. As shown in FIG. 9, it is possible to search real-time retention data of public data / Can be performed. You can also recommend types of data visualization that are appropriate for your data, learn the meta-structure of the data, summary statistics, and the types of data visualizations that are appropriate for your data, and recommend and automatically provide visualization content that is appropriate for your data.

Also, as shown in various embodiments of the present invention, a data visualization type suitable for data can be selected, and visualized content, which is a result of various visualizations, can be generated with one piece of data, and a hidden insight can be derived.

In addition, according to various embodiments of the present invention, it is possible to easily analyze data without any learning, and to extract hidden insights of data through data analysis.

In addition, as shown in various embodiments of the present invention, a content management function, such as downloading a graph image, a copy function of a source code, a sharing of a channel such as SNS, and a content management function through a graph modification, Can be performed.

10 is a block diagram showing a detailed structure of an electronic device according to an embodiment of the present invention. 10, an electronic device 1000 includes at least one of a processor 1010, a memory 1020, a bus 1030, an input / output interface 1040, a display 1050, and a communication interface 1060 . In some embodiments, electronic device 1000 may omit at least one of the components, or may additionally include other components.

The bus 1030 may include circuitry, for example, to connect the components 1010 to 1060 to one another and to communicate communications (e.g., control messages and / or data) between the components .

The processor 1010 may include one or more of a central processing unit (CPU), an application processor (AP), or a communication processor (CP). The processor 1010 may perform, for example, operations or data processing related to control and / or communication of at least one other component of the electronic device 1000. For example, In an embodiment of the present invention, the processor 1010 transmits a search term input by a user to a data visualization type recommendation service server 100, and responds to the search term according to a request of the data visualization type recommendation service server 100 To the data visualization type recommendation service server (100). The processor 1010 may receive and display a list of data provided from the data visualization type recommendation service server 100 and may transmit the data selected by the user to the data visualization type recommendation service server 100 have. The processor 1010 receives and displays at least one data visualization type received from the data visualization type recommendation service server 100 and displays the data visualization type selected by the user among the at least one data visualization type as the data To the visualization type recommendation service server 100. Processor 1010 may receive and display visualization content applied to the data visualization type selected by the user by the user, selected data from the server. The processor 1010 sends the user's editing information for the visualization content to the data visualization type recommendation service server 100 and receives user-oriented visualization The content can be received and applied.

The memory 1020 may include volatile and / or non-volatile memory. The memory 1020 may store instructions or data related to at least one other component of the electronic device 1000, for example. According to one embodiment, the memory 1020 may store software and / or programs. The program includes, for example, a kernel 1024, a middleware 1023, an application programming interface (API) 1022, and / or an application program (or "application" can do. At least a portion of the kernel 1024, middleware 1023, or API 1022 may be referred to as an operating system (OS).

The kernel 1024 may include system resources (e. G., Programs) used to execute operations or functions implemented in other programs (e.g., middleware 1023, API 1022, or application program 1021) E.g., bus 1030, processor 1010, or memory 1020, etc.). The kernel 1024 can also control or manage system resources by accessing the individual components of the electronic device 1000 in the middleware 1023, the API 1022, or the application program 1021 You can provide an interface.

The middleware 1023 can perform mediating functions such that the API 1022 or the application program 1021 can communicate with the kernel 1024 to exchange data. Also, the middleware 1023 may be configured to communicate with at least one of the application programs 1021, for example, with respect to task requests received from the application program 1021, (E.g., scheduling or load balancing) of a work request using a method such as assigning a priority that can be used (e.g., bus 1030, processor 1010, or memory 1020) .

The API 1022 is an interface for the application 1021 to control the functions provided by the kernel 1024 or the middleware 1023, for example, file control, window control, At least one interface or function (e.g., command) for processing, character control, or the like.

The input / output interface 1040 may serve as an interface through which commands or data input from, for example, a user or other external device can be transmitted to the other component (s) of the electronic device 1000. The input / output interface 1040 may output commands or data received from other component (s) of the electronic device 1000 to a user or another external device.

The display 1050 can be, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or a microelectromechanical systems (MEMS) electronic paper) display. The display 1050 may display various content (e.g., text, images, video, icons, symbols, etc.) to the user, for example. The display 1050 may include a touch screen and may receive touch, gesture, proximity, or hovering input using, for example, an electronic pen or a portion of the user's body.

The communication interface 1060 can establish communication between the electronic device 1000 and an external device, for example. For example, the communication interface 1060 may be connected to the communication network via wireless communication or wired communication to communicate with the external device.

The wireless communication may use at least one of, for example, LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro, or GSM as the cellular communication protocol. The wired communication may include at least one of a universal serial bus (USB), a high definition multimedia interface (HDMI), a recommended standard 232 (RS-232), a plain old telephone service (POTS) . The telecommunications network may include, for example, at least one of a computer network (e.g., a LAN or WAN), the Internet, or a telephone network.

Electronic device 1000 in accordance with various embodiments of the present invention may be any of a variety of electronic devices such as, for example, a smartphone, a tablet personal computer, a mobile phone, a videophone, an e-book reader reader, a desktop personal computer, a laptop personal computer, a netbook computer, a workstation, a server, a personal digital assistant (PDA), a portable multimedia player (PMP) , Mobile medical devices, cameras, or wearable devices such as smart glasses, head-mounted-devices (HMD), electronic apparel, electronic bracelets, electronic necklaces, (e. g., apps, e-tat, smart mirror, or smart watch).

As has been described above, specific combinations of configurations or steps of the present invention have been described in detail by way of the above embodiments, but other combinations of such configurations and steps are likewise possible. The present invention is not limited to the specific embodiments disclosed herein, and such other combinations are within the scope of the present invention. Therefore, the present invention is not limited to the above-described embodiments, and various modifications and changes may be made thereto by those skilled in the art to which the present invention belongs.

100: Data visualization type recommendation service server
110: communication unit 120: input unit
130: output unit 140: storage unit
150: visualization type meta information DB 160: matching rule DB
170: control unit 180:
200: Electronic device 300: External device
1010: Processor 1020: Memory
1021: Application 1022: API
1023: Middleware 1024: Kernel
1030: bus 1040: input / output interface
1050: Display 1060: Communication Interface

Claims (15)

Collecting data:
Detecting meta information of selected data of the collected data and recommending at least one data visualization type based on the meta information;
Generating visualization content in which the data is applied to a selected data visualization type of the at least one data visualization type; and
And editing the visualization content to display user-oriented visualization content.
2. The method of claim 1, wherein collecting the data comprises:
And collecting the data from at least one external device based on a search word input by the user.
The method of claim 1, wherein the detecting the meta information comprises:
Generating a data list based on the collected data; and
Further comprising: detecting meta information of the selected data when the data selected by the user is received from the data list.
2. The method of claim 1, wherein recommending the data visualization type comprises:
The at least one data visualization type meta information, the meta information of the at least one data visualization type, and the meta information of the at least one data visualization type, ≪ / RTI > wherein the data visualization type of the data visualization type is recommended.
5. The method of claim 4,
A method of data visualization, wherein the data visualization is managed by using a probability-based machine learning (Machine Algorithm) model to update or add a new pattern according to a user's behavior pattern.
2. The method of claim 1, wherein recommending the data visualization type comprises:
Each of the recommendation indices of the at least one data visualization type,
Recommending the at least one data visualization type for visualizing and presenting the data in a data visualization type comprising at least one of a maximum recommendation exponent of the at least one data visualization type or a recommendation index greater than or equal to a reference value. Data visualization method.
The method of claim 1, wherein editing the visualization content comprises:
And performing at least one of visualization editing or data editing of the visualization content.
The method of claim 1,
The size of the data, the number of fields, or the characteristics of each of the fields.
Data collection unit for collecting data: and
Detecting meta information of selected data of the collected data, recommending at least one data visualization type based on the meta information, and recommending visualization content to which the data is applied to the selected data visualization type of the at least one data visualization type And controlling the display of the user-oriented visualization content by editing the visualization content.
The data processing apparatus according to claim 9,
And collects the data from at least one external device based on a search word entered by the user.
10. The apparatus according to claim 9,
Generating a data list based on the collected data, and detecting meta information of the selected data when the data selected by the user is received from the data list.
10. The apparatus according to claim 9,
The at least one data visualization type meta information, the meta information of the at least one data visualization type, and the meta information of the at least one data visualization type, The data visualization type of the data visualization type.
10. The apparatus according to claim 9,
For each of the at least one data visualization type, and a recommendation index of at least one of the at least one data visualization type, Said data visualization type recommending said at least one data visualization type.
10. The apparatus according to claim 9,
And performing at least one of visualization editing or data editing of the visualization content.
A computer-readable recording medium having recorded therein a program for executing the method according to any one of claims 1 to 8.

Images