KR20230085033A - Data curation for consumption and utilization data - Google Patents

Abstract

A data visualization method of the present invention may comprise: displaying a first user interface (UI) providing a list related to a plurality of basic data on a display; in response to a first input obtained through the first UI, displaying a second UI, providing a list related to a plurality of items contained in first basic data corresponding to the first input among the plurality of basic data, on the display; in response to one or more item inputs obtained through the second UI, extracting one or more sub data corresponding to each of the one or more item inputs; based on the extracted one or more sub data, generating first visualized data; and displaying a third UI containing the first visualized data on the display. According to the present invention, visualized data is generated based on an item selected by a user among various items contained in data and provided to the user.

Description

Data curation for data consumption and utilization {DATA CURATION FOR CONSUMPTION AND UTILIZATION DATA}

The present invention relates to data curation for data consumption and utilization, and more particularly, to a method and system for generating visualized data based on a user-selected item among various items included in data and providing the visualized data to the user. It is about.

In the reality where data analysis has become commonplace, how to interpret the acquired data has become more important than acquiring the data. Therefore, it is necessary to provide user-customized data so that the user's purpose of what the user wants from the data can be obtained, and only the data the user wants can be extracted and analyzed.

An object of the present invention relates to a data visualization method of generating visualized data based on an item selected by a user from among various items included in data and providing the visualized data to a user.

A data visualization method according to an embodiment includes displaying a first user interface (UI) providing a list related to a plurality of basic data on a display; In response to the first input obtained through the first user interface, a second user interface providing a list related to a plurality of items included in the first basic data corresponding to the first input among the plurality of basic data displaying on a display; extracting one or more sub data corresponding to each of the one or more item inputs in response to the one or more item inputs obtained through the second user interface; generating first visualization data based on one or more extracted sub data; and displaying a third user interface including the first visualization data on the display.

Here, displaying an initial user interface providing a list related to a plurality of categories on a display; and extracting a list related to the plurality of basic data corresponding to the initial input from among the plurality of categories in response to the initial input obtained through the initial user interface.

Here, the method of generating the first visualization data may include checking data properties of the at least one sub-data; selecting a first template from among a plurality of pre-stored templates based on the data properties; and generating the first visualization data by inputting the one or more sub data into the first template.

Here, the attribute of the data may include at least one of position confirmation, numerical confirmation, numerical comparison, numerical correlation analysis, distribution verification, and trend verification.

Here, inputting the one or more items may be implemented through click or drag and drop.

Here, the plurality of basic data may be data obtained from a server of a public institution.

Here, the plurality of pre-stored templates may include at least one of a map, a graph, a distribution chart, a flowchart, text, an image, and a link.

Here, including the first visualization data in the plurality of basic data; displaying a fourth user interface providing a list related to the plurality of basic data including the first visualization data on the display; and a plurality of items included in second basic data corresponding to the second input among the plurality of basic data including the first visualization data in response to the second input acquired through the fourth user interface. The method may further include displaying a fifth user interface providing a list on the display.

Here, the plurality of items included in the second basic data may include a plurality of items included in the first basic data and one or more items corresponding to the one or more item inputs.

A data visualization system according to an embodiment includes a processor for processing data; and a display outputting data processed by the processor, wherein the processor generates and displays a first user interface providing a list related to a plurality of basic data on the display, and through the first user interface In response to the obtained first input, a second user interface providing a list related to a plurality of items included in the first basic data corresponding to the first input among the plurality of basic data is displayed on the display, and the second user interface is displayed on the display. 2 Corresponding to one or more item inputs acquired through the user interface, extracting one or more sub-data corresponding to each of the one or more item inputs, generating first visualization data based on the extracted one or more sub-data, A third user interface including the first visualization data may be displayed on the display.

According to an embodiment of the present invention, a data visualization method may be provided that generates visualized data based on an item selected by a user from among several items included in data and provides the visualized data to the user.

1 is an environment diagram of a data visualization system according to an exemplary embodiment.
2 is a flowchart of a method of generating visualization data according to an exemplary embodiment.
3 is a flowchart of a data visualization method of generating visualization data based on an input obtained through a user interface according to an exemplary embodiment.
4 is a flowchart of a method of generating visualization data according to an exemplary embodiment.
5 to 9 are examples for describing a user interface according to an exemplary embodiment.
10 is a diagram for explaining an example of visualization data.

The embodiments described in this specification are intended to clearly explain the spirit of the present invention to those skilled in the art to which the present invention belongs, so the present invention is not limited to the embodiments described in this specification, and the The scope should be construed to include modifications or variations that do not depart from the spirit of the invention.

The terms used in this specification have been selected as general terms that are currently widely used as much as possible in consideration of the functions in the present invention, but these may vary depending on the intention of those skilled in the art, precedents, or the emergence of new technologies to which the present invention belongs. can However, in the case where a specific term is defined and used in an arbitrary meaning, the meaning of the term will be separately described. Therefore, the terms used in this specification should be interpreted based on the actual meaning of the term and the overall content of this specification, not the simple name of the term.

The drawings accompanying this specification are intended to easily explain the present invention, and the shapes shown in the drawings may be exaggerated as necessary to aid understanding of the present invention, so the present invention is not limited by the drawings.

If it is determined that a detailed description of a known configuration or function related to the present invention in this specification may obscure the gist of the present invention, a detailed description thereof will be omitted if necessary.

In the present invention, the data visualization system 10000 may be a system for a platform for processing, generating and/or distributing data. That is, the data visualization system 10000 may be referred to as a data distribution platform below.

Also, in the present invention, a method of generating visualization data may be a method of generating meta data describing data. Visualization data may refer to meta data describing data. Specifically, the visualization data may be meta data including an analysis of data obtained by comparing or analyzing data acquired by the server 1000 . That is, a method of generating visualization data may be referred to as a method of generating meta data below.

1 is an environment diagram of a data visualization system according to an exemplary embodiment.

Referring to FIG. 1 , a data visualization system 10000 may include a server 1000, a computing device 2000, and an external server 3000. That is, the data distribution platform may be implemented by the server 1000 , the computing device 2000 and the external server 3000 .

Although FIG. 1 shows only one computing device and an external server communicating with the server 1000, the server 1000 is not limited thereto, and the server 1000 may communicate with two or more computing devices and an external server. In addition, although only one server 1000 is shown in FIG. 1, it is not limited thereto, and a plurality of servers may exist according to each role.

1, the computing device 2000 and the external server 3000 are illustrated as communicating through the server 1000, but are not limited thereto, and the server 1000, the computing device 2000 and the external server ( 3000) may communicate directly with each other.

The server 1000 is a central component of the data visualization system 10000 and may serve as an overall controller of the data visualization system 10000.

The server 1000 may be connected to the computing device 2000 and the external server 3000 . In addition, the server 1000 may be connected to the computing device 2000 and the external server 3000 to exchange communication signals.

The server 1000 may include a control unit, a communication unit, a storage unit, and an output unit. Although corresponding components will be described below, the corresponding components are not essential, and the server 1000 may have more or fewer components. In addition, each component of the server 1000 may be physically included in one server or may be a distributed server distributed for each function.

The control unit may oversee operations of the server 1000 . Specifically, the controller may send a control command to the communication unit and the storage unit to execute operations of each department. Also, the controller may analyze and/or generate data. In this specification, the control unit may also be referred to as a processor.

Unless otherwise noted below, the operation of the server 1000 may be interpreted as being performed under the control of a controller or processor.

The communication unit may connect the server 1000 and an external device to communicate with each other. That is, the communication unit can transmit/receive data with an external device. For example, the communication unit may exchange data with the computing device 2000 or the external server 3000 .

According to an embodiment, the communication unit may receive user information from the computing device 2000 . Also, the communication unit may receive a signal corresponding to a user's input for a specific item from the computing device 2000 .

According to one embodiment, the communication unit may acquire a plurality of data from the external server 3000 . In this case, the plurality of data may include data capable of analysis such as statistical numerical data, maps, trends, and the like.

Data acquired by the communication unit from the external server 3000 is raw data, and the processor of the server 1000 may process the raw data into a form that can be analyzed. For example, the server 1000 may pre-process the raw data before analyzing the raw data, such as matching the raw data to a specific format or changing the size of the data.

The communication unit may be a communication module supporting at least one of a wired communication method and a wireless communication method.

For example, the communication unit may acquire data from an external device through communication methods such as Bluetooth, Zigbee, Bluetooth Low Energy (BLE), and RFID.

The storage unit of the server 1000 may store various data and programs necessary for the server 1000 to operate. The storage unit may store information acquired by the server 1000 .

For example, the storage unit may store information received from the computing device 2000 acquired by the communication unit. Also, the storage unit may store various data received from the external server 3000 acquired by the communication unit.

The storage unit may temporarily or semi-permanently store data. Examples of the storage unit include a hard disk drive (HDD), a solid state drive (SSD), a flash memory, a read-only memory (ROM), a random access memory (RAM), or a cloud storage ( Cloud Storage), etc. However, it is not limited thereto, and the storage unit may be implemented with various modules for storing data.

The storage unit may be provided in a form embedded in the server 1000 or in a detachable form.

An output unit included in the server 1000 may output information. In this specification, the output unit may also be referred to as a display. Specifically, data processed or generated by the control unit may be output. The output unit may output information visually, audibly, or tactilely, but is not limited thereto and may have various types of output.

The computing device 2000 may be a device of a user using the data visualization system 10000 . Specifically, the computing device 2000 may be a user's terminal or a server of a user's computer. Although only one computing device 2000 is shown in FIG. 1 , a plurality of users may use the data visualization system 10000 by communicating with each other or with the server 1000 through each computing device.

According to one embodiment, a plurality of users may exchange data through respective computing devices. For example, each user may deliver or sell visualization data generated by the server 1000 . Alternatively, each user may deliver or sell visualization data generated by the server 1000 to an external server 3000 .

The external server 3000 may be a device that provides necessary data for the data visualization system 10000. The external server 3000 may be a server of a public institution or a server of a private company. That is, the server 1000 may obtain data of a public institution through the external server 3000 or data of a private company through the external server 3000 . Also, the server 1000 may transmit the generated visualization data to the external server 3000 .

2 is a flowchart of a method of generating visualization data according to an exemplary embodiment.

Referring to FIG. 2, the method of generating visualization data includes selecting a data category (S100), selecting basic data (S200), selecting a data item (S300), and generating visualization data (S300). S400) may be included. The server 1000 may generate metadata describing data through steps S100, S200, S300, and S400.

The step of selecting a data category ( S100 ) may be a step in which a user of the computing device 2000 selects one category among a plurality of categories provided by the server 1000 .

Specifically, the server 1000 may acquire a plurality of data from the external device 3000 . The server 1000 may classify a plurality of acquired data according to categories. The server 1000 may classify a plurality of data according to fields. In this case, the category may be data related to sports, data related to traditional markets, data related to weather, data related to prices, data related to company information, and the like.

For example, sports-related data may include data related to soccer, baseball, basketball, volleyball, and the like. Also, for example, data related to traditional markets may include data related to traditional markets in each region, such as a Seoul traditional market, a Gyeonggi-do traditional market, and a Gangwon-do traditional market.

In addition, the category may include data on sports fields, sports goods, companies related to sports, sports players, etc., and externally open data such as weather that can be combined with the corresponding data. In this case, the external public data may be public data obtained from the external server 3000 .

Also, for example, data related to weather may include data related to temperature, precipitation, humidity, fine dust, and the like. Also, for example, data related to company information may include data related to employment rate, resignation rate, annual salary, operating profit, and the like.

The step of selecting basic data (S200) may be a step in which the server 1000 provides the basic data included in the category selected in step S100 to the user, and the user selects one of the basic data.

Specifically, the basic data may be more detailed information within the category selected in step S100. The basic data may be data related to a purpose for which the user visualizes data.

For example, when a user selects a sports category, the plurality of basic data may include data classified for each sports event. That is, in the example, the user may select basic data corresponding to any one event among soccer, baseball, basketball, and volleyball.

Also, for example, when a user selects a traditional market category, the plurality of basic data may include data classified according to a purpose, such as classified for each location of a traditional market or classified for the purpose of guiding a traditional market.

Also, for example, when a user selects a weather category, the plurality of basic data may include data classified according to a purpose, such as classified per season, classified per specific temperature, or data related to weather prediction.

Also, for example, when a user selects a company information category, data classified according to a purpose such as data for employment or data for a merger may be included.

The step of selecting a data item (S300) may be a step in which the server 1000 provides a plurality of items included in the basic data selected in step S200 to the user, and the user selects one or more items among them.

Specifically, the data item may be an item of data included in the basic data selected in step S200. The data item selected in step S300 may be an item selected by the user to generate visualization data.

For example, when a user selects basic data related to soccer, the plurality of data items may include items such as country, soccer team name, soccer player, position, and ranking.

Also, for example, when the user selects basic data related to guidance of a traditional market, a plurality of data items may include items such as market area, number of business stores, number of markets, market location, restroom information, parking lot information, etc. .

Also, for example, when the user selects basic data related to temperature, the plurality of data items may include items such as temperature, date, season, region, and the like.

Also, for example, when the user selects basic data related to employment, items such as company name, representative, company location, number of employees, establishment year, and annual salary may be included.

The step of generating visualization data (S400) may be a step of generating visualization data based on the data item selected in step S300. A detailed description thereof will be described below with reference to FIG. 4 .

3 is a flowchart of a data visualization method for generating visualization data based on an input obtained through a user interface (UI) according to an exemplary embodiment. FIG. 3 is a diagram for explaining the sequence of FIG. 2 in association with a user interface. That is, FIG. 3 is a diagram for explaining FIG. 2 in detail.

A data visualization method for generating visualization data based on an input acquired through a user interface according to an embodiment includes displaying an initial user interface that provides a list of data categories (S110), through the initial user interface related to data categories. It may include obtaining an initial input (S120) and extracting a list related to a plurality of basic data corresponding to the initial input (S130).

In addition, the data visualization method of FIG. 3 includes displaying a first user interface providing a list related to a plurality of basic data (S210), and obtaining a first input related to the basic data through the first user interface (S220). ) and extracting one or more items related to the basic data corresponding to the first input (S230).

In addition, the data visualization method of FIG. 3 includes displaying a second user interface that provides a list related to one or more items (S310), obtaining an input of one or more items related to one or more items through the second user interface ( S320) and extracting one or more sub data corresponding to each of the one or more item inputs (S330).

Also, the data visualization method of FIG. 3 may include generating visualization data based on one or more sub-data ( S400 ), which may be the same as generating visualization data of FIG. 2 ( S400 ).

Displaying an initial user interface providing a data category list (S110) may be a step of outputting a plurality of category lists on a display so that a user can select a category. In this case, the display may be a display of the computing device 2000 or a display of the server 1000 .

Specifically, the initial user interface may include a category selection box. When the user clicks the category selection column, the server 1000 may display a plurality of category lists through the column.

Obtaining an initial input related to a data category through an initial user interface (S120) is when a user selects a specific category from a category selection column included in the initial user interface, and the server 1000 receives an initial input related to the specific category. It may be a step of obtaining. In detail, the server 1000 may receive a signal including information about a selected category from the computing device 2000 .

In this case, the initial input may be made in the form of a user clicking a part where a specific category is described. However, it is not limited thereto, and the initial input may be formed in other input forms such as drag and drop in addition to click.

In the step of extracting a list related to a plurality of basic data corresponding to the initial input (S130), the server 1000 based on the initial input obtained in step S120, the plurality of basic data included in the category corresponding to the initial input It may be a step of extracting a list.

For example, when the user selects a category related to sports, the server 1000 may extract a plurality of basic data lists including data related to soccer, baseball, basketball, volleyball, etc. included in the sports category in step S130. .

Displaying the first user interface providing a list related to the plurality of basic data (S210) may be a step of providing the plurality of basic data lists extracted in step S130 to the user. Step S210 may be a step of outputting a plurality of basic data lists on a display so that a user can select basic data.

Specifically, the first user interface may include a basic data selection field. When the user clicks the basic data selection column, the server 1000 may display a plurality of basic data lists through the column.

Obtaining a first input related to the basic data through the first user interface (S220) is when the user selects specific basic data from the basic data selection column included in the first user interface, and the server 1000 determines the specific basic data. It may be a step of obtaining a first input related to basic data. Specifically, the server 1000 may receive a signal including information about the selected basic data from the computing device 2000 .

In this case, the first input may be made in the form of a user clicking a portion where specific basic data is described. However, it is not limited thereto, and the first input may be formed in other input forms such as drag and drop in addition to click.

In the step of extracting one or more items related to the basic data corresponding to the first input (S230), based on the first input obtained in step S220, the server 1000 includes the basic data corresponding to the first input. It may be a step of extracting a plurality of items.

For example, when the user selects basic data related to traditional market guidance, a plurality of items lists a plurality of items including items such as market area, number of business stores, number of markets, market location, restroom information, and parking lot information. can be extracted.

Displaying a second user interface providing a list related to one or more items (S310) may be a step of providing the one or more items extracted in operation S230 to a user. Step S310 may be a step of outputting one or more item lists to a display so that the user can select one or more items.

Specifically, the second user interface may include an item selection box in which a plurality of items are listed. Even if the user clicks or does not click the item selection column, the server 1000 may display a plurality of item lists through the column.

Obtaining an input of one or more items related to one or more items through the second user interface (S320) is performed by the user selecting one or more items from an item selection box in which a plurality of items included in the second user interface are listed. Step 1000 may be a step of obtaining an item input related to the selected item. Specifically, the server 1000 may receive a signal including information about one or more items selected from the computing device 2000 .

At this time, item input may be made in the form of a user clicking a part where specific basic data is described. However, it is not limited thereto, and item input may be performed in other input forms such as drag and drop in addition to click.

In the step of extracting one or more sub data corresponding to each of the one or more item inputs (S330), based on the one or more item inputs acquired in step S320, the server 1000 has one or more sub data corresponding to the one or more item inputs. It may be a step of extracting.

For example, when the user selects the market area and market location items of a traditional market, the server 1000 provides first sub data including market area data for each traditional market and second sub data including location information for each traditional market. can be extracted.

The step of generating visualization data (S400) based on one or more sub-data will be described in detail below with reference to FIG. 4 .

4 is a flowchart of a method of generating visualization data according to an exemplary embodiment.

Referring to FIG. 4 , the method for generating visualization data includes checking data properties of sub data (S410), selecting a template based on the data properties (S420), and inputting sub data into the template (S430). and generating visualization data (S440).

The step of checking data properties of the sub data (S410) may be a step of checking the properties of the sub data extracted in step S330 in order to select a template of visualization data. Specifically, the data attribute of the sub-data may include at least one of location confirmation, numerical confirmation, numerical comparison, numerical correlation analysis, distribution verification, and trend verification.

For example, when the sub data is market area data of a traditional market, the user can check the area value of each market through the market area data of the traditional market. Therefore, the attribute of the area data of the traditional market may be numerical confirmation.

Also, for example, when the sub data is location data of a traditional market, the user can confirm the geographical location of the market through the data. Therefore, the attribute of the location data of the traditional market may be location confirmation.

In the above example, when the user selects the area of the traditional market and the location of the traditional market as items of basic data, the attributes of the sub data corresponding to the selected item may be location confirmation and numerical confirmation.

For another example, if the sub data is the performance of a soccer player, the user can compare and check a numerical value corresponding to the performance of each soccer player through the soccer player's performance data. Accordingly, the property of the soccer player's performance data may be numerical confirmation and numerical comparison.

The step of selecting a template based on the data attribute (S420) may be a step of selecting one or more templates from among a plurality of pre-stored templates based on the data attribute checked in step S410.

The plurality of templates stored in the server 1000 may include at least one of maps, graphs, distribution charts, flowcharts, texts, images, and links. In this case, the graph may have various forms such as a bar graph and a pie graph, and the shape of the graph may be determined according to data properties or a user's selection.

For example, when the attribute of data is location confirmation, the server 1000 may select a map from among a plurality of templates as a template of visualization data. Also, for example, when the attribute of data is numerical comparison, the server 1000 may select a graph from among a plurality of templates as a template of visualization data.

Also, for example, when the property of data is distribution check, the server 1000 may select a distribution map as a template of visualization data. In addition, when the properties of the data are location confirmation and numerical confirmation, the server 1000 may select maps and graphs as templates of the visualization data. That is, the server 1000 may combine templates according to data attributes.

The step of inputting sub data into the template (S430) may be a step of inputting sub data corresponding to the item selected by the user into the template selected in step S430. Sub data corresponding to the item selected by the user may be sub data extracted in step S330.

For example, if the items selected by the user are the area of the traditional market and the location of the traditional market, the server 1000 selects a map as a template in step S430, and maps the location data of the traditional market and the area data of the traditional market to the map template. can be applied.

Also, for example, if the item selected by the user is the soccer player's performance, the server 1000 may select a graph as a template and apply data related to the soccer player's performance to the graph template.

The step of generating visualization data (S440) may be a step of generating visualization data to be provided to the user based on the sub data applied to the template through step S430. Visualization data may be generated by performing step S430, or other user input may be additionally considered.

In this case, the user's other input may be an input related to a font, font size, and character arrangement. That is, when the server 1000 generates initial visualization data in step S430, the user can modify the initial visualization data to suit his/her own purpose and finally generate visualization data.

5 to 9 are examples for describing a user interface according to an exemplary embodiment.

Referring to FIG. 5 , a user interface 4000 including a plurality of frames can be checked. The user interface 4000 may be output through a display.

The user interface 4000 provided by the server 1000 may include a category selection box 4100, a basic data selection box 4200, an item selection box 4300, and a visualization data creation box 4400.

The category selection box 4100 may also be called a first frame. The user may click the first frame 4100 to select one category from among a plurality of category lists provided by the server 1000 .

The basic data selection column 4200 may be referred to as a second frame. The user may click the second frame 4200 to select one basic data from among a plurality of basic data lists provided by the server 1000 . In this case, the plurality of basic data lists may be changed according to a user's input acquired through the first frame 4100 .

The item selection box 4300 may be referred to as a third frame. The user may select one or more data items from among a plurality of data items provided by the server 1000 through the third frame 4300 . In this case, the plurality of data items may vary according to the user's input obtained through the second frame 4200 .

The visualization data generation column 4400 may be referred to as a fourth frame. The user may be provided with visualization data through the fourth frame 4400 .

The fourth frame 4400 may include a first sub-frame 4410 , a second sub-frame 4420 and/or a third sub-frame 4430 . However, it is not limited thereto, and the first sub-frame 4410, the second sub-frame 4420, and the third sub-frame 4430 are not included in the fourth frame, and the user interface 4000 displays the fifth frame and the third sub-frame 4430. It can be implemented as a single frame with the 6th frame or the 7th frame.

A user may input an item to be implemented as visualization data in the first subframe 4410 . For example, an item may be input by clicking and selecting an item in the third frame 4300 or dragging and dropping an item in the third frame 4300 to the first sub frame 4410 .

A user may input a template to be implemented as visualization data in the second subframe 4420 . For example, in a template selection screen (not shown) among screens included in the user interface 4000, click to select a specific template or drag and drop a specific template to the second subframe 4420 to select a template. can be entered.

The server 1000 may generate visualization data based on items and templates input through the first subframe 4410 and the second subframe 4420 . The server 1000 may provide the generated visualization data to the user through the third subframe 4430 . That is, the server 1000 may output the user interface 4000 including the third sub-frame 4430 in which visualization data is displayed to the display.

Referring to FIG. 6 , a user interface when the user selects the first frame 4100 can be checked.

When the user selects the first frame 4100, the server 1000 may create a list column 4110 adjacent to the first frame 4100 and provide a category list to the user.

Referring to FIG. 7 , when the user selects the second frame 4100, the user interface can be checked.

When the user selects the second frame 4200, the server 1000 may create a list box 4210 adjacent to the second frame 4200 and provide a basic data list to the user.

Referring to FIG. 8 , a user interface providing a plurality of data items can be checked.

When the user selects basic data in FIG. 7 , the server 1000 may provide a list of a plurality of items corresponding to the basic data through the third frame 4300 .

Referring to FIG. 9 , a user interface outputting visualization data based on an item selected by a user may be checked.

When the user selects one or more items in FIG. 8 , the server 1000 may generate visualization data 4435 based on one or more sub data corresponding to the one or more items. Specifically, the server 1000 may generate visualization data 4435 by selecting a template according to data attributes of one or more sub data and applying the one or more sub data to the template. The server 1000 may provide the generated visualization data 4435 through the third subframe 4430 .

For example, when a user selects a first item and a third item among a plurality of items, the server 1000 provides first sub data corresponding to the first item and third sub data corresponding to the third item to the first item. By applying it to the template, the first visualization data 4435 may be generated. The server 1000 may output a user interface including the first visualization data 4435 to a display.

10 is a diagram for explaining an example of visualization data.

Referring to FIG. 10 , visualization data may have various forms according to a user's purpose.

For example, when the user's purpose is to compare measurement values of two or more items, the server 1000 may generate visualization data for comparing numerical values through a graph.

Also, for example, when a user's purpose is to check information through a map, the server 1000 may generate visualization data displaying location and information on a map.

Also, for example, when the user's purpose is to analyze a trend, the server 1000 may generate visualization data including a time-series graph.

That is, the present invention relates to a method of generating metadata that can describe the public data through the obtained public data. As shown in FIG. 10, the format and contents of meta data may vary depending on the acquired open data.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (10)

displaying a first user interface (UI) providing a list related to a plurality of basic data on a display;
In response to the first input obtained through the first user interface, a second user interface providing a list related to a plurality of items included in the first basic data corresponding to the first input among the plurality of basic data displaying on a display;
extracting one or more sub data corresponding to each of the one or more item inputs in response to the one or more item inputs acquired through the second user interface;
generating first visualization data based on one or more extracted sub data; and
Displaying a third user interface including the first visualization data on the display
How to visualize data.
According to claim 1,
displaying an initial user interface providing a list related to a plurality of categories on a display; and
In response to the initial input obtained through the initial user interface, extracting a list related to the plurality of basic data corresponding to the initial input from among the plurality of categories
How to visualize data.
According to claim 1,
The method for generating the first visualization data,
checking data attributes of the at least one sub-data;
selecting a first template from among a plurality of pre-stored templates based on the data properties; and
Generating the first visualization data by inputting the one or more sub data to the first template.
How to visualize data.
According to claim 3,
The attribute of the data includes at least one of position identification, numerical verification, numerical comparison, numerical correlation analysis, distribution verification, and trend verification.
How to visualize data.
According to claim 1,
The input of one or more items is implemented through click or drag and drop.
How to visualize data.
According to claim 1,
The plurality of basic data is data obtained from a server of a public institution.
How to visualize data.
According to claim 3,
The plurality of pre-stored templates include at least one of maps, graphs, distribution charts, flowcharts, texts, images, and links.
How to visualize data.
According to claim 1,
including the first visualization data in the plurality of basic data;
displaying a fourth user interface providing a list related to the plurality of basic data including the first visualization data on the display; and
In response to the second input obtained through the fourth user interface, a list related to a plurality of items included in the second basic data corresponding to the second input among the plurality of basic data including the first visualization data Further comprising displaying on the display a fifth user interface providing
How to visualize data.
According to claim 8,
The plurality of items included in the second basic data include a plurality of items included in the first basic data and one or more items corresponding to the one or more item inputs.
How to visualize data.
a processor that processes data; and
A display outputting data processed by the processor;
the processor,
Creating a first user interface providing a list related to a plurality of basic data and displaying it on the display;
In response to the first input obtained through the first user interface, a second user interface providing a list related to a plurality of items included in the first basic data corresponding to the first input among the plurality of basic data appear on the display,
In response to the one or more item inputs acquired through the second user interface, one or more sub data corresponding to each of the one or more item inputs is extracted;
generating first visualization data based on the extracted one or more sub-data;
Displaying a third user interface including the first visualization data on the display
data visualization system.

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