KR20020022161A - Method for providing a statistics service by using the internet - Google Patents

Abstract

PURPOSE: A method for providing statistics service using the Internet is provided to enable a user to easily analysis a statistics by providing a statistics service using an application service providing function to a client connecting to a server through the Internet. CONSTITUTION: The method comprises steps of determining the possession of personal analyzing data in order to analysis a certain statistics by extracting the information of accessed member(105), loading the data to be analyzed in order to make a certain statistics(107), configuring a screen for performing a statistics service by selecting a service relating to the statistics services(108), determining an analysis method for making the statistics through a browser(109), selecting an analysis object variable for making the statistics(110), determining the screen output format(111), executing an analysis for making a certain statistics(112) and displaying the analyzed result as the numbers of determined format on a screen(113).

Description

How to provide statistics service using internet {METHOD FOR PROVIDING A STATISTICS SERVICE BY USING THE INTERNET}

The present invention relates to a statistical service providing method using the Internet, and more particularly, to a statistical service providing method for providing a statistical service to a client through the Internet.

In general, since statistical analysis is performed using an expensive statistical package, the amount of money is too large for an individual to purchase and use the statistical package. Also, in order to use a statistical package, it is difficult for the general public to use the statistical package, because the basic statistics must be understood. Therefore, their use is poor despite the need for professional statistical analysis.

These inconveniences usually require users to pay a substantial amount of money and perform necessary data analysis through a representative with expert statistical knowledge. This is an important factor that prevents the achievement of the best efficiency by making the right decision because most users skip the statistical analysis because they have the statistical data as the basic data for rational decision making and the interpretation or excessive cost or time burden. have.

The present invention has been made to solve the drawbacks of the prior art, and provides a statistical service to the client connected to the Internet using the Application Service Provide (ASP) function. The purpose of the present invention is to provide a statistical service providing method using the Internet.

In order to achieve the above object, the present invention provides a statistical service providing system comprising a server for providing a statistical service to the plurality of clients connected to the Internet through the Internet: extracting information of a member connected to the server to a predetermined A first step of determining whether or not to possess personal analysis data for analyzing the statistics; A second step of executing, by the client connected to the server, the statistical service search browser according to a user's command input; A third step of loading data for analysis by the server to produce predetermined statistics; A fourth step of configuring a screen for performing a statistical service according to selecting a service related to the statistical service through the browser; A fifth step of determining an analysis method for producing statistics through the browser; A sixth step of selecting an analysis subject variable for producing statistics according to the determined analysis method; A seventh step of determining a screen output form; An eighth step of performing an analysis for producing predetermined statistics; A ninth step of outputting the analysis result as a number having a form determined in the seventh step; A tenth step of determining whether to print a current screen output by clicking on a predetermined portion of the screen; An eleventh step of printing the contents of the screen if it is desired to print as a result of the determination of the tenth step; A twelfth step of determining whether or not to select a strategic application after performing the step 11 after the step 11 as a result of the determination in the tenth step; A thirteenth step of outputting, on the screen, the strategic application contents described by solving the statistical results according to the user's situation when selecting the strategic application as the determination result of the twelfth step; A fourteenth step of judging whether or not to print the current strategic application contents screen output by clicking on a predetermined portion of the screen; As a result of the determination of the fourteenth step, if you want to print characterized in that it comprises a fifteenth step of printing the strategic application of the screen.

1 is a schematic diagram showing an embodiment of a network configuration for implementing a method for providing a statistical service using the Internet according to the present invention;

2 is a flowchart showing step by step an embodiment of a method of providing a statistical service using the Internet according to the present invention;

3 is a flowchart showing step by step an embodiment of the analysis data loading step shown in FIG.

4 is a flowchart illustrating step by step an embodiment of a data input step illustrated in FIG. 3;

<Description of the code | symbol about the principal part of drawing>

2: client 4: internet

6: server

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram showing an embodiment of a network configuration for implementing a method for providing a statistical service using the Internet according to the present invention, and includes a plurality of clients 2, the Internet 4, and a server 6.

In the figure, the server 6 provides a statistical service to the plurality of clients 2 connected to the Internet 4 via the Internet 4.

2 is a flow chart showing step by step an embodiment of a method for providing a statistical service using the Internet according to the present invention.

First, the client 2 attempts to log on via the Internet 4 to the server 6 providing the statistical service according to the user's key command (step 101). The user attempts to log on using his or her identifier and password.

The server 6 accesses and confirms the linked user management database server (not shown in the figure) whether the user according to the identifier attempting to log on is a member (step 102).

As a result of checking whether the member is the member, the server 6 induces the member registration of the user (step 103). The server 6 stores the information of the member registered in step 103 in the user management database server and returns to step 101 (step 104).

On the other hand, the server 6 determines whether the member owns the personal analysis data for analyzing the predetermined statistics by accessing the user management database and extracting the member information in the case of the member checking result. ).

The client 2 connected to the server 6 as a member executes a separate statistical service search browser according to a user's command input (step 106). The browser displays various states for the statistics service by communicating with the application service supply that the server 6 will provide the statistics service via the Internet 4.

The server 6 loads the data to be analyzed for producing certain statistics (step 107).

As the user selects a specific service related to the statistical service through the browser, a screen suitable for the type of the selected service is configured, and accordingly, the user configures the analysis data for producing the initial statistics (step 108).

The user determines an analysis method for producing statistics through the browser (step 109).

According to the determined analysis method, an analysis target variable for generating statistics such as a variable range and a case range is selected (step 110).

The user determines the screen output form (step 111).

The server 6 performs the analysis for producing the predetermined statistics (step 112).

The client 2 screens the analysis result of the server 6 in the form of the number determined by the user in step 111 (step 113).

The client 2 determines whether or not the user wants to print the current screen output as the user clicks on a predetermined portion on the screen (step 114).

As a result of the determination in step 114, if the user wants to print, the client 2 prints the contents of the screen via a printer (not shown in the figure) (step 115).

As a result of the determination of step 114, if the user does not want to print or after performing step 115, the client 2 determines whether the user selects strategic application (step 116).

As a result of the determination of step 116, when selecting the strategic application, the client 2 outputs the strategic application contents described on the screen by appropriately solving the statistical results according to the user's situation (step 117). Artificial intelligence may be used to interpret the statistical results in natural language in order to interpret the statistical results according to strategic applications. After that, it is also possible by artificial intelligence to reinterpret the interpreted result according to a specific situation. For example, the output output in the form of numbers can be described in detail in natural language format by artificial intelligence. In particular, we provide services that explain various types of statistical analysis guides and theoretical backgrounds so that general users with weak statistical knowledge bases can be easily used. The contents of the analysis result can be easily understood through natural language conversion system using artificial intelligence so that general non-technical users can easily understand. An artificial intelligence system (not shown in the figure) and a decision database connected to the server 6 provide the user with artificial intelligence-based natural language output for appropriate strategic application and further analysis. By using this, general users can also provide appropriate statistical techniques according to the scope of their desired strategy, and also support easy interpretation of results.

The client 2 determines whether or not the user wants to print the current strategic application contents output as the user clicks on a predetermined portion on the screen (step 118).

As a result of the determination of step 118, if the user wants to print, the client 2 prints the strategic application contents of the screen through the provided printer (step 119).

3 is a flowchart showing step by step an embodiment of the analysis data loading step 107 shown in FIG.

First, the server 6 checks whether there is stored data for producing statistics in relation to the currently connected user (step 202).

As a result of the checking in step 202, the server 6 determines whether to use the stored data according to the user's selection when there is stored data (step 203).

As a result of the check in step 202, the server 6 determines the type and size of the input variable when there is no stored data or when the check in step 203 does not use the stored data (step 204).

The user determines the input target case size via the client 2 (step 205).

The user inputs data for predetermined statistics through the client 2 to the server 6 (step 206).

The server 6 stores the data provided from the client 2 (step 207).

As a result of the check in step 203, the server 6 uses the stored data or performs the step 207, and then loads the stored corresponding analysis target data (step 208).

The server 6 determines whether to re-enter and change the analysis data loaded in step 208 by the user's command (step 209).

As a result of the determination of step 209, the server 6 determines whether to add a variable by the user's command when re-entering and changing the analysis data (step 210).

When the server 6 adds the variable as a result of the determination of step 210, the server 6 adds the variable (step 211).

The server 6 determines whether or not to add a case by the user's command (step 212).

If the server 6 adds a case as a result of the determination in step 212 or if the variable is not added as a result of the determination in step 210 (step 213).

As a result of the determination of step 212, the server 6 stores the current data when the case is not added or after the step 213 is performed (214).

4 is a flowchart illustrating step by step an embodiment of the data input step 206 shown in FIG.

First, the user determines the size of the initial variable and the size of the analysis object through the client 2 (step 302).

The client 2 generates a worksheet for inputting the data to be analyzed (step 303).

The user inputs data corresponding to each variable, such as a variable name, in the generated worksheet (step 304).

The user enters data via the client 2 into the server 6 (step 305).

The server 6 determines whether to store the input data of step 305 according to the user's command (step 306).

If it is determined that the server 6 stores the input data as a result of the determination of step 306, the server 6 stores the input data (307).

Such payment for using the present invention can be made by any method currently known. That is, payment can be made using electronic money, electronic check, electronic money transfer, credit card, bank transfer, a combination thereof, and the like. On the other hand, if the service is not provided correctly, the price should be returned.

The server 6 may be provided with various peripheral devices such as a firewall, a control unit, an application program, and a storage device for storing a database, as necessary, and may have a separate one-way mail server to the user.

As described above, the present invention provides a statistical service to the client connected to the Internet through the Internet using the application service supply function. Therefore, there is an effect that the client can easily analyze the statistics. In addition, the general public without knowledge of statistics can quantify various social phenomena as desired and use the contents as a basis for rational decision making by statistical analysis using the application service supply function.

Claims (3)

In the statistical service providing system having a server for providing a statistical service through the Internet to a plurality of clients connected to the Internet: A first step of extracting information of a member connected to the server and determining whether to possess personal analysis data for analyzing predetermined statistics; A second step of executing, by the client connected to the server, the statistical service search browser according to a user's command input; A third step of loading data for analysis by the server to produce predetermined statistics; A fourth step of configuring a screen for performing a statistical service according to selecting a service related to the statistical service through the browser; A fifth step of determining an analysis method for producing statistics through the browser; A sixth step of selecting an analysis subject variable for producing statistics according to the determined analysis method; A seventh step of determining a screen output form; An eighth step of performing an analysis for producing predetermined statistics; A ninth step of outputting the analysis result as a number having a form determined in the seventh step; A tenth step of judging whether or not to print the current screen output by clicking on a predetermined portion of the screen; An eleventh step of printing the contents of the screen if it is desired to print as a result of the determination of the tenth step; A twelfth step of determining whether or not to select a strategic application after performing the step 11 after the step 11 as a result of the determination in the tenth step; A thirteenth step of outputting, on the screen, the strategic application contents described by solving the statistical results according to the user's situation when selecting the strategic application as the determination result of the twelfth step; A fourteenth step of judging whether or not to print the current strategic application contents screen output by clicking on a predetermined portion of the screen; And a fifteenth step of printing strategic application contents of the screen when a result of the determination of the fourteenth step is desired to be printed. The method of claim 1, The data loading step to be analyzed in the third step may include: a twenty-first step of checking whether there is stored data for generating statistics in relation to a currently connected user; A twenty-second step of determining whether to use the stored data according to a user's selection when there is stored data as a result of the checking in the twenty-first step; A twenty-third step of determining the type and size of an input variable when there is no stored data or the stored data is not used as a result of the verification in the twenty-first step; Determining a size of an input target case; A twenty-fifth step of inputting data for predetermined statistics into the server; A twenty sixth step of storing data provided by the server; A twenty-seventh step of using the stored data or performing the twenty-sixth step and loading the stored analysis target data after the verification result of the twenty-second step; Determining whether to re-enter and change the analysis data loaded in the twenty-seventh step according to a user's command; A twenty-ninth step of determining whether to add a variable by a user's command when re-entering and changing analysis data as a result of the determination in the twenty-eighth step; A thirtieth step of adding a variable when adding the variable as a result of the determination of the twenty-ninth step; A thirty-first step of determining whether or not to add a case by a user's command; A thirty-second step of adding a case when a case is not added as a result of the determination in the thirty-first step or a result of the determination in the twenty-ninth step; And a thirty-third step of storing current data after the thirty-third step or the case is not added as a result of the determination in the thirty-first step. The method of claim 2, The step 25 of inputting data may include: a step 41 in which a user determines a size of an initial variable and a size of an analysis target through a client; Step 42, wherein the client generates a worksheet for inputting analysis target data; A 43rd step of allowing a user to input data according to each variable in the worksheet; 44. A user inputs data to the server through a client; A 45th step of judging whether or not the server stores the input data of the 44th step according to a user's command; And a 46 th step of storing the input data if it is determined that the input data is to be stored.