KR101595024B1 - data analyzing system based on user intent - Google Patents

Abstract

The present invention relates to a user-based data analysis system, which is configured to receive one among a plurality of predetermined analysis algorithms inputted from a user and analyze collected data using the inputted analysis algorithm, so that a variety of data analysis can be available according to a user′s selection instead of applying a fixed analysis method, thereby significantly increasing the reliability and efficiency of analysis. In addition, as the user-based data analysis system is configured to provide an open API to clients and receive the registration of a self-produced analysis algorithm from a user so as to utilize the analysis algorithm for data analysis, the reliability and efficiency of analysis can be further enhanced. Moreover, the display efficiency and information transfer capability can be increased by enabling display item and display method of analyzed data to be determined according to the user′s selection through a dashboard when displaying the analyzed data to the clients.

Description

User-based data analysis system based on user intent

The present invention relates to a user-based data analysis system. More particularly, the present invention relates to a user-based data analysis system in which data collection, analysis, and visualization are selectively performed by a user (user) And a user-based data analysis system capable of dramatically improving efficiency.

Big data is defined as large-scale data with a large size, short generation cycle, and various forms. Especially, the rapid development of IT technology, rapid increase of users of social network service (SNS), mobile revolution The rate of increase is accelerating.

As Big Data presents the potential to provide valuable information to human beings in all areas such as politics, society, economy, culture, science and technology, interest in big data is increasing rapidly, There are various studies on big data processing systems that analyze patterns and values after analyzing them.

FIG. 1 is a flowchart for explaining a typical operation procedure of a conventional big data processing system.

The operation process (S100) of the conventional big data processing system typically includes a data collection step (S110) of collecting big data of various formats, and a step of collecting the data collected by the data collection step (S110) A data analysis step (S120) of analyzing the value data and a visualization step (S130) of outputting data processed by the data analysis step (S120) to the user terminal.

The conventional large data processing system configured as described above can detect value data by various data of a large capacity through the data collection step (S110), the data analysis step (S120) and the visualization step (S130) .

However, in the conventional big data processing system, since the format of the data collected by the data collection step (S110) is not selected by the user but is determined by the service provider, the user has a limitation that the service is manually provided.

Also, in the conventional big data processing system, since the data analysis by the data analysis step (S120) is performed by only a predetermined analysis algorithm and the data is analyzed only in a fixed manner, the user simply analyzes the data It has a limitation that it can only passively browse data. In other words, when it is assumed that the amount of data is infinite, various pattern values can be detected from the same data according to an analysis algorithm. However, since the prior art 100 uses only one fixed analysis algorithm, It has disadvantages.

Also, the value data detected in the data analysis step S120 can be variously displayed according to various items (e.g., time, place, equipment name, TCP, etc.), but in the conventional big data processing system, Since the method of displaying the analysis data in step S130 is displayed only by the display method determined by the service provider, the exhibition efficiency and the information transfer ability are deteriorated.

2 is a block diagram showing a life pattern analysis system disclosed in Korean Patent Laid-Open No. 10-2011-0046199 (entitled Life Pattern Analysis System and Life Pattern Analysis Method).

The life pattern analyzing system 100 of FIG. 2 includes a main server 101 and a plurality of subscriber servers 105, which communicate with the main server 101 through a network 103, And a customer server 107.

The main server 101 manages a web site that provides microblogs on the Internet, collects and analyzes life keywords on the web site, and searches for life patterns.

The main server 101 also includes an input / output unit 111, a control unit 115, and a database 113.

The input / output unit 111 exchanges data with a plurality of subscriber servers 105 via a network 103, transmits and receives the retrieved life patterns to / from the customer server 107.

The control unit 115 manages web sites on the Internet, collects life keywords of individual blogs, analyzes them, and finds life patterns representing the correlation between life keywords. Meanwhile, the control unit 115 analyzes life keywords in the team blog and analyzes life patterns existing among the team members of the team blog.

The conventional technology 100 configured as described above detects the life pattern information through the keyword of life and provides it to the customer server 107, so that the user who accesses the customer server 107 can view the life pattern.

However, in the conventional art 100, the main server 101 is configured to store an analysis algorithm for analyzing a life pattern and to analyze the life pattern using a predetermined analysis algorithm, that is, The user has a limitation that the user must manually browse only the analysis data detected by the analysis algorithm determined by the main server 101. [ In other words, when it is assumed that the amount of data is infinite, various pattern values can be detected from the same data according to an analysis algorithm. However, since the prior art 100 uses only one fixed analysis algorithm, It has disadvantages.

Also, the conventional art 100 has a limitation in that analysis data is displayed only in a fixed manner when the detected analysis data is viewed. That is, even if the same behavior pattern is displayed, if the display is performed by various formats (items) (for example, time, region, etc.), the user can browse the behavior pattern for each item desired by him or herself. However, But because it displays the analytical data only in a fixed way.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a method and apparatus for selecting one of a plurality of predetermined analysis algorithms from a user or providing an open API (application program interface) And to provide a user-based data analysis system capable of significantly increasing the reliability and accuracy of analysis by being configured to register the self-analysis algorithm and analyze the collected data using the selected or registered analysis algorithm.

Further, another object of the present invention is to provide a display system and a display method of the analysis data, in which a display item and a display method of analysis data are determined according to a user's selection through a dashboard after data analysis is performed, Based data analysis system.

Further, another object of the present invention is to provide a data gateway which is configured to collect not only existing data but also document files (hereinafter referred to as human files), thereby increasing the scope of the analysis target, Based data analysis system.

According to an aspect of the present invention, there is provided a data analysis system for collecting and analyzing data from collection target servers and providing analysis data that has been analyzed to a connected client, the data analysis system comprising: A data analysis unit for analyzing data collected by the data collection unit; and a graphical user interface (GUI) on which data analyzed by the data analysis unit is displayed. A data analysis platform including a dashboard management section for generating a dashboard containing the dashboard; And a client for accessing the data analysis platform and downloading and viewing the graphical user interface of the dashboard, wherein the dashboard is configured to select one of predetermined analysis algorithms used in the data analysis unit from the clients Wherein the data analysis unit of the data analysis platform performs data analysis using an analysis algorithm selected from the clients through the dashboard and the data analysis platform provides an open application program interface (API) And receives an analysis algorithm from the clients through the dashboard, and the data analysis unit analyzes the registered analysis algorithm when the analysis algorithm is registered in the dashboard from the clients. Use it to perform the data analysis.

In addition, in the present invention, the data analysis platform may provide an open API (application program interface) to the clients to register their own analysis algorithms through the dashboard from the clients, Once the analysis algorithm is registered by the dashboard itself, it is desirable to perform data analysis using the registered analysis algorithm.

The data analysis unit may further include a pattern analysis module for detecting pattern information from the data collected by the data collection unit using a predetermined pattern analysis algorithm.

In the present invention, the data collection unit may be a gateway installed in a data movement path of each of the collection target servers.

In addition, in the present invention, the dashboard receives a format of data to be collected from the clients, and the data collector receives data format from the clients through the dashboard, and collects data corresponding to the received data format And the data format includes at least one of 'time', 'equipment name', 'HTTP', 'FTP', 'POP3', 'SMTP', 'IMAP', and 'DNS'.

Also, in the present invention, the dashboard management unit generates a dashboard for displaying the data analyzed by the data analysis unit, and the generated dashboard includes a field for receiving any one of preset display methods from the clients, And the dashboard management unit displays the analyzed data according to the display method input through the generated dashboard.

In addition, in the present invention, the predetermined display methods include at least one of a bar chart, a line chart, a pie chart, and a table .

In the present invention, the generated dashboard may include an input field for receiving an input format and an output format for the analyzed data from the clients, and the dashboard manager may receive an input format A bar chart, a line chart, a pie chart, and a table according to an input format and an output format that are input when the output format is input, And displays the analyzed data in any one of the input data.

Also, the generated dashboard according to the present invention may include a display method list in which a list of the predetermined exhibition methods is displayed, and an exhibition window in which a sample graph representing each of the exhibition methods is displayed, It may be determined that the dragged display method is input from the client.

Also, the generated dashboard may include an input format list in which the list of the input formats is displayed and an output format list in which the list of the output formats is displayed. In the input format list or the output format list If either one of the display windows is clicked and dragged to the input format column or the output format column of one of the display windows, it is determined that the input format or the output format of the display method is input in the dragged input format or output format desirable.

In the present invention, when the preset display methods are 'bar chart', 'line chart', or 'pie chart', the input format column is 'X' Axis. ≪ / RTI >

According to the present invention having the above-mentioned problems and solutions, it is not necessary to apply a fixed analysis method by receiving any one of the predetermined plurality of analysis algorithms from the user and analyzing the collected data using the inputted analysis algorithm According to the user's choice, various data analysis becomes possible, and thus the reliability and efficiency of analysis can be drastically improved.

Also, according to the present invention, an open API is provided to clients so that a user can register his / her own analysis algorithm and use it for data analysis, thereby improving the reliability and efficiency of analysis.

According to the present invention, when the analysis data is displayed to the client, the exhibition items and the display methods of the analysis data are determined according to the selection of the user (user) through the dashboard, thereby enhancing the exhibition efficiency and the information transfer power.

FIG. 1 is a flowchart for explaining a typical operation procedure of a conventional big data processing system.
2 is a block diagram showing a life pattern analysis system disclosed in Korean Patent Laid-Open No. 10-2011-0046199 (entitled Life Pattern Analysis System and Life Pattern Analysis Method).
3 is a block diagram illustrating a data analysis system according to an embodiment of the present invention.
4 is a block diagram illustrating the data gateway of FIG.
5 is a block diagram illustrating the data analysis platform of FIG.
Fig. 6 is an exemplary diagram for explaining Fig. 5. Fig.
FIG. 7 is a block diagram showing the data analysis unit of FIG. 3. FIG.
8 is a block diagram showing a dashboard management unit.
FIG. 9 is an exemplary diagram for explaining a function of a user to freely define a data format by utilizing a graphical user interface of a dashboard generated by the dashboard management unit of FIG. 8. FIG.
FIG. 10 is an exemplary diagram for explaining a function for freely defining an algorithm type that a user desires to use by utilizing a graphical user interface of a dashboard generated by the dashboard management unit of FIG. 8. FIG.
FIG. 11 is an exemplary diagram for explaining a function for freely defining a dashboard type in a form that a user desires to express using a graphical user interface of a dashboard generated by the dashboard management unit of FIG. 8. FIG.

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

3 is a block diagram illustrating a data analysis system according to an embodiment of the present invention.

The data analysis system 1 of FIG. 3 includes the collection target servers 7-1, ..., 7-N and the collection target servers 7-1, N and the data gateways 5-1, 5-2, ..., 5-N for collecting data installed in the data movement paths of the data gateways 5-1, A data analysis platform 3 for analyzing the collected data collected by the data analysis platform 3 and providing the analyzed data to a web screen, (9-1, ..., 9-N) for displaying the result data corresponding to the requested data on the monitor and the connection targets 3, 5-1, ..., To the communication network 4 that provides a data movement path between the mobile stations 5-1 to 5-N, 7-1, ..., 7-N, 9-1, .

For convenience of explanation, the data gateways 5-1, ..., and 5-N transmit data of each of the collection target servers 7-1, ..., 7-N However, the data collection method is not limited to this, and the collection data may be transmitted periodically from the collection target servers 7-1, ..., 7-N. A variety of known methods such as a receiving method can be applied.

The data analysis system 1 configured as described above is configured to perform data collection, data analysis, and data visualization according to the user's selection, in detail, according to a user's selection, thereby providing a user-oriented service, Analysis and visualization are fixedly performed only by the display method and the display method, and thus it is possible to drastically solve the conventional problem that the ease of use and the efficiency of analysis are inferior.

The collection target servers 7-1, ..., 7-N include a social network service, a portal site, a soft switch, a search engine and a server, an HMI server of an automation process, and a PLC .

The clients 9-1 to 9-N support the connection of the communication network 4 to provide the parameters according to the format of the data analysis platform 3 and provide the services provided by the data analysis platform 3 And requests the data to the data analysis platform 3, and displays the operation processing data received from the data analysis platform 3 on the monitor.

A web interworking program (web browser, Netscape, etc.) is installed in the clients 9-1, ..., 9-N to access the data analysis platform 3 through an interworking program.

The clients 9-1 to 9-N are provided with a wired communication module or a wireless communication module depending on the type of the communication network 4, Assistant, smartphone, tablet PC, and the like.

The communication network 4 includes a data analysis platform 3, data gateways 5-1 to 5-N, collection target servers 7-1 to 7-N, A mobile communication network, a 3G LTE network, a mobile communication network, and the like, and more particularly, to a mobile communication network, such as a LAN, a wide area network (WAN) 4G network, and the like.

The data gateways 5-1 to 5-N are installed in the data movement paths of the collection target servers 7-1 to 7-N, -1), ..., (7-N).

The data collected by the data gateways 5-1, ..., and 5-N of the present invention are classified into communication data, industrial data, social data, and human data, Related information such as call trace information collected from network equipment, security equipment, authentication server, softswitch and web server, and the industrial data is transmitted from an automation system such as SCADA (Supervisory Control And Data Acquisition) And the social data is defined as social network service related data collected from social network service and mail and the human data is defined as 'PDF', 'XML', 'DOC', 'XLS' Is defined as document related information such as 'PPT', 'TXT', 'HWP', 'HTML' and the like.

The data gateways 5-1, ..., and 5-N are data selected by the clients 9-1, ..., 9-N under the control of the data analysis platform 3 Converts the collected data according to the format, that is, converts the collected data into a single format, and then periodically transmits the collected data to the data analysis platform 3. At this time, the client is configured to be able to input a format of data to be collected through a graphical user interface (GUI) of a dashboard provided from the data analysis platform 3, and the data format includes 'time', 'equipment name' HTTP ',' FTP ',' POP3 ',' SMTP ',' IMAP ',' DNS '

The data analysis platform 3 according to the present invention includes hardware and software such as an operating system, a middleware, a processor, etc., on which an application program can be executed.

The data analysis platform 3 also provides a dashboard including a graphic user interface to the connected clients 9-1, ..., 9-N, When the data is requested from the client through the dashboard, the server processes the operation corresponding to the request data and provides the operation processing data to the client through the web screen. At this time, the data analysis platform 3 centrally manages the functions suitable for the client's decision making and job analysis through the dashboard, processes the operation corresponding to the data inputted from the client through the dashboard, A dashboard for collective display is created and displayed, and the processing values are displayed for each item according to the selection of the client, so that the client can browse the analysis data for each desired item.

The data analysis platform 3 receives the format format of the data to be collected through the graphical user interface (GUI) of the dashboard from the connected client 9, N), the data collection is selectively performed by the user, thereby allowing the user to browse the analysis data desired by the user.

In addition, the data analysis platform 3 analyzes the collected data, and a plurality of analysis algorithms for detecting the value data are pre-set and stored. When the data collection is completed, one of the predetermined analysis algorithms is selected from the connected clients And analyzes the collected data using the selected analysis algorithm.

In addition, the data analysis platform 3 provides an open API (application program interface) to the clients 9-1, ..., 9-N to generate analysis algorithms (GUI), and when the self-analysis algorithm is registered from the client, the collected data is analyzed using the registered analysis algorithm.

That is, the data analysis platform 3 of the present invention is not limited to performing data analysis using only a fixed analysis algorithm as in the conventional method, but may be configured to select one of various analysis algorithms from a client (user) The analysis algorithm is registered and the collected data is analyzed using the selected or registered analysis algorithm, thereby making it possible to perform various analyzes, thereby improving the analytical reliability and efficiency.

At this time, the graphical user interface (GUI) of the dashboard provided in the data analysis platform 3 includes a registration box for registering the self-produced analysis library from the user (client) 5, The user can analyze the collected data using a desired analysis algorithm. That is, since the data has various formats and contents as well as the size is infinite, different analysis data (result value) is detected according to the applied analysis algorithm in comparison with the same data. However, conventionally, The analysis results in poor reliability and accuracy of the analysis. Accordingly, the present invention is configured such that the user can select or register an analysis algorithm, so that an appropriate analysis algorithm can be applied according to an object to be analyzed by the user, and various analyzes can be performed using the same data, And the accuracy can be improved remarkably.

In addition, the data analysis platform 3 provides analysis data detected by the analysis algorithm to the requesting client through a graphical user interface of the dashboard as a web screen. At this time, the dashboard can receive the input value and the result value from the client, and displays the analysis data according to the inputted value and the result value, so that the client selects the item (input value or result value) It will be able to be read clearly.

4 is a block diagram illustrating the data gateway of FIG.

The data gateway 5 of FIG. 4 collects data transmitted and received from the collection target server 7 installed in the data movement path of the collection target server 7, and periodically transmits collected data to the data analysis platform 3 .

The data gateway 5 includes a data collecting unit 51 for collecting data transmitted and received from the collection destination server 7 and a data conversion unit 51 for converting the data collected by the data collecting unit 51 into a format selected by the client. A data processing unit 55 for processing collected data converted into a single format by the data conversion unit 53 in an asynchronous manner, and a communication interface unit 57 for performing data communication.

In this case, various categories such as 'time', 'equipment name', 'HTTP', 'FTP', 'POP3', 'SMTP', 'IMAP', 'DNS'

As described above, the data collecting unit 51 collects communication data, industrial data, social data, and human data, so that various data including behavior patterns can be detected using various data.

FIG. 5 is a block diagram showing the data analysis platform of FIG. 3, and FIG. 6 is an exemplary diagram for explaining FIG. 5. FIG.

The data analysis platform 3 of FIGS. 5 and 6 includes a database 32 for storing data, a communication interface 33 for transmitting and receiving data to and from the outside, A data analyzer 35 for analyzing the data by using an analysis algorithm selected or registered by the client 9; and a controller 38 for generating a dashboard by multiplying the analysis data analyzed by the data analyzer 35, A dashboard management unit 37 for visualizing and displaying the image in a desired form and a control unit 31 for managing and controlling the control objects 32, 33, 35 and 37.

The control unit 31 is an operating system (OS) of the data analysis platform 3 and manages and controls the control objects 32, 33, 35, and 37.

The control unit 31 receives the format information of the data to be collected from the clients 9-1, ..., 9-N through the graphic user interface (GUI) of the dashboard, To the data gateway 5. At this time, the data gateway 5 collects data corresponding to the format information inputted from the clients 9-1, ..., 9-N under the control of the data analysis platform 3. [

When receiving the collected data from the data gateways 5-1, ..., and 5-N through the communication interface 33, the control unit 31 temporarily stores the collected collected data in the database unit 32 .

The control unit 31 inputs the collected data received from the data gateways 5-1, ..., and 5-N to the data analysis unit 35 through the communication interface unit 33. [

Further, the control unit 31 selects one of predetermined analysis algorithms from the client 9 through the graphical user interface of the dashboard, or selects the collected data using the registered analysis algorithm if the self-analysis algorithm is registered And controls the data analysis unit 35 to analyze the data.

The collected data is temporarily stored in the database unit 32 separately for each field.

The database 32 stores predetermined analysis algorithms. Various known analysis algorithms such as FP-Growth and CF algorithm that can support various recommended services by intelligent association search can be applied as the predetermined analysis algorithm, algorithms for analyzing various system logs of industrial equipment (scada) have.

The database unit 32 stores pre-fabricated graphical user interfaces.

FIG. 7 is a block diagram showing the data analysis unit of FIG. 3. FIG.

The data analysis unit 35 analyzes the selected or registered analysis when one of the predetermined analysis algorithms is selected from the client 9 as shown in FIG. 7 or an analysis algorithm that is built by the client 9 is registered. A data analysis engine module 351 for analyzing collected data using an algorithm, and a pattern analysis module 353 for analyzing collected data using a predetermined pattern analysis algorithm.

The data analyzed by the data analysis unit 35 is generated as a dashboard by the dashboard management unit 37 and then provided to the client 9 through the graphic user interface of the dashboard as a web screen.

8 is a block diagram showing a dashboard management unit.

The dashboard management unit 37 calls an arithmetic function according to the input value input from the user and at the same time uses the analysis data analyzed by the data analysis unit 35 to calculate an analysis value for each analysis target item , A failure rate in time, etc.), and a dashboard displayed on the basis of the input format and the result format input from the client, the result value calculated by the operation processing module 371 And a dashboard creation module 373.

FIG. 9 is an exemplary view for explaining a function of a user to freely define a data format by utilizing a graphical user interface of a dashboard generated by the dashboard management unit of FIG. 8; FIG. FIG. 11 is a diagram illustrating an example of a function for freely defining an algorithm type that a user intends to use by utilizing a graphical user interface of a dashboard to be generated. FIG. 11 is a graphical user interface The user can freely define the dashboard type in a format that the user wants to express.

The graphical user interface 200 of FIG. 9 includes an input field 201 for receiving a format (input format or output format) of data to be collected from the clients 9-1, ..., and 9-N, And a type field 203 for receiving the type of the input format.

At this time, the type of the format can be applied as 'int', 'float', 'string', 'boolean', etc. as is well known.

The graphical user interface 300 of FIG. 10 includes an algorithm selection field 301 for receiving any one of the predetermined analysis algorithms from the clients 9-1, ..., and 9-N, A registration field 303 for registration, and a definition field 305 for defining data to be generated by the analysis algorithm.

The definition field 305 includes a name input field 351 for inputting the name of the result value and a type field 353 for inputting the data type.

The graphical user interface 400 of FIG. 11 includes display windows 401 for displaying analyzed data detected by the data analyzer 35, an exhibition method list 403 for receiving a method for displaying analysis data, An input / output format list 405 for selecting an input format and an output format, and an exhibition window 407 on which sample graphs 471 indicating the display method lists are displayed.

The display method list 403 may include at least one of various display methods such as a bar chart, a line chart, a pie chart, a table, . At this time, when the client drags a list of exhibition methods desired by the client in a state of clicking on the exhibition method list 403, the graphic user interface 400 determines that the dragged exhibition method is selected.

The input / output format list 405 receives an input format and an output format. At this time, if any one of the input / output format lists 405 is dragged to any one of the X-axis (input format column) of the sample graphs 471 described above, the corresponding list is converted into an X- (Output format) of one of the sample graphs 471 described above, the analysis data is displayed on the Y-axis (output format), so that the client (user) The analysis data can be read at a glance by exhibition method and item.

1: Data Analysis System 3: Data Analysis Platform
5-1, ..., 5-N: data gateway 7-1, ..., 7-N:
9-1, ..., 9-N: client 31:
32: Database part 33: Communication interface part
35: Data analysis unit 37: Dashboard management unit
51: Collecting unit 53: Data conversion unit
55: Data processing unit 57: Communication interface unit

Claims (11)

A data analysis system for collecting and analyzing data from collection target servers and providing the analyzed data, which has been analyzed, to connected clients, comprising:
The data analysis system
A data analyzer for analyzing data collected by the data collector; a graphical user interface (GUI) for displaying data analyzed by the data analyzer; A data analysis platform that includes a dashboard management unit that generates a dashboard including the dashboard;
And a client connected to the data analysis platform to download and view the graphical user interface of the dashboard,
Wherein the dashboard is configured to select one of predetermined analysis algorithms used in the data analysis unit from the clients and the data analysis unit of the data analysis platform analyzes the analysis algorithm selected from the clients through the dashboard The data analysis is carried out using the < RTI ID = 0.0 >
The data analysis platform provides an open API (application program interface) to the clients to register their own analysis algorithms through the dashboard from the clients,
Wherein the data analysis unit performs data analysis using the registered analysis algorithm when the analysis algorithms are registered by the clients through the dashboard. delete The data analysis system according to claim 1, wherein the data analysis unit further comprises a pattern analysis module that detects pattern information from data collected by the data collection unit using a predetermined pattern analysis algorithm. The data analysis system according to claim 3, wherein the data collection unit is a gateway installed in a data movement path of each of the collection target servers.
The method of any one of claims 1, 3, and 4, wherein the dashboard receives a format of data to be collected from the clients,
The data collection unit collects data corresponding to the input data format when receiving the data format from the clients through the dashboard,
Wherein the data format includes at least one of time, equipment name, HTTP, FTP, POP3, SMTP, IMAP, and DNS. system. The method according to claim 5, wherein the dashboard management unit generates a dashboard for displaying data analyzed by the data analysis unit, and the generated dashboard inputs any one of preset display methods from the clients Wherein the dashboard management unit displays the analyzed data according to the display method input through the generated dashboard.
The method according to claim 6, wherein the predetermined display methods include at least one of a bar chart, a line chart, a pie chart, and a table Wherein the data analysis system comprises:
The method of claim 7, wherein the generated dashboard includes a field for receiving an input format and an output format for the analyzed data from the clients,
If the input format and the output format are inputted through the input field of the generated dashboard, the dashboard management unit may generate a bar chart, a line chart, a pie chart, and displays the analyzed data in any one of the pie charts and tables received from the clients.
The method of claim 8, wherein the generated dashboard includes a display method list in which a list of the predetermined display methods is displayed, and an exhibition window in which a sample graph representing each of the display methods is displayed, Wherein when one of the display method lists is dragged in a clicked state, it is determined that the dragged display method is input from the client.
The method of claim 9, wherein the generated dashboard includes an input format list in which a list of the input formats is displayed and an output format list in which a list of the output formats is displayed, If any one of the format lists is clicked and dragged to an input format column or an output format column of one of the display windows, the input format or output format of the display method is input as a dragged input format or an output format The data analysis system comprising:
The method according to claim 10, wherein when the predetermined display methods are 'bar chart', 'line chart', or 'pie chart', the input format column is 'X' Axis is set to a Y axis.

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