JP7091722B2 - Information processing equipment, personnel analysis support methods and programs - Google Patents

Description

The present invention relates to an information processing apparatus , a personnel analysis support method and a program.

Conventionally, there has been known a device for storing and managing personnel information such as name, age, affiliation, and job title regarding personnel belonging to an organization such as a company organization (see, for example, Patent Document 1).
In such devices, personnel analysis work is performed in which personnel information is used to analyze personnel and utilize them for management work such as personnel measures. In this personnel analysis work, statistical methods such as correlation analysis are used to analyze the tendency of personnel information to a certain feature.

Japanese Unexamined Patent Publication No. 2007-41878

By the way, in personnel analysis, it is necessary to select an analysis method (for example, positive correlation, negative correlation, etc.) suitable for the characteristics of the item (data) of personnel information. However, in the conventional personnel analysis work, it is general that the user selects the analysis method based on experience and know-how, and it is not always possible to immediately select the optimum analysis method. In that case, select one analysis method on the analysis method selection screen, check the analysis result (graph, etc.) on the analysis result display screen, and then return to the selection screen again to select and display another analysis method. Trial work such as checking the analysis results on the screen occurred, which made the operation complicated and reduced the efficiency of the work.

An object of the present invention is to improve the efficiency of personnel analysis work.

In order to solve the above problems, the information processing apparatus according to the present invention selects an item specified by a user operation from a plurality of quantitative items in personnel information as an analysis target item, and among the remaining items. A selection means for selecting an item registered as a related item together with one of a plurality of analysis methods in advance in association with the item selected as the analysis target item in the above, and a plurality of the above by the selection means. The first correlation graph showing the correlation between the analysis target item and the related item when the related item is selected, and the first correlation graph to which the analysis method registered in association with the related item is applied. The display control means is provided with a display control means for displaying the selected plurality of related items side by side on the same screen, and the display control means is used for each of the related items in the first correlation graph corresponding to the related item. A plurality of second correlation graphs showing the correlation between the analysis target item and the related item adjacent to each other, and one of the plurality of analysis methods is applied to each of them so that different analysis methods are applied. It is characterized in that a plurality of applied second correlation graphs are displayed.
Further, the personnel analysis support method according to the present invention is a personnel analysis support method executed by an information processing apparatus, and an item designated by a user operation from a plurality of quantitative items in personnel information is set as an analysis target item. A selection step of selecting and selecting an item registered as a related item together with one of a plurality of analysis methods in advance in association with the item selected as the analysis target item among the remaining items. A first correlation graph showing the correlation between the analysis target item and the related item when a plurality of the related items are selected in the selection step, and is registered in association with the related item. The first correlation graph to which the analysis method is applied is provided with a display control step for displaying the selected related items side by side on the same screen, and the display control step is related to each of the related items. A plurality of second correlation graphs showing the correlation between the analysis target item and the related item adjacent to the first correlation graph corresponding to the item, each of which is said to have different analysis methods applied to each other. It is characterized in that a plurality of second correlation graphs to which any one of a plurality of analysis methods is applied are displayed.
Further, in the program according to the present invention, the computer selects an item designated by a user operation from a plurality of quantitative items in personnel information as an analysis target item, and the analysis target item among the remaining items. A selection means for selecting an item registered as a related item together with an analysis method among a plurality of analysis methods in advance in association with the item selected as, and a plurality of the related items are selected by the selection means. In this case, the first correlation graph showing the correlation between the analysis target item and the related item and to which the analysis method registered in association with the related item is applied is selected. A plurality of related items are made to function as display control means for displaying them side by side on the same screen, and the display control means is used for each of the related items so as to be adjacent to the first correlation graph corresponding to the related item, and the analysis is performed. A plurality of second correlation graphs showing the correlation between the target item and the related item, wherein one of the plurality of analysis methods is applied to each of the plurality of second correlation graphs so that different analysis methods are applied to each other. 2 It is characterized in that a correlation graph is displayed.

According to the present invention, it is possible to improve the efficiency of personnel analysis work.

It is a block diagram which shows the personnel information processing apparatus of embodiment of this invention. It is a figure which shows the structure of the employee basic information table. It is a figure which shows the structure of the analysis setting table. It is a flowchart which shows the personnel analysis process. It is a figure which shows the analysis condition screen. It is a figure which shows the initial analysis result screen. It is a figure which shows the analysis result screen in the state which the analysis method is selected. It is a figure which shows the analysis result screen which the correlation diagram was updated. It is a figure which shows the other example of the analysis condition screen. It is a figure which shows the other example of the initial analysis result screen. It is a figure which shows the analysis result screen in the state which the analysis method is selected. It is a figure which shows the analysis result screen which the correlation diagram was updated.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. The present invention is not limited to the illustrated examples.

[Configuration of personnel information processing equipment]
First, the device configuration of the present embodiment will be described.
The personnel information processing device 10 as an information processing device is, for example, a device installed in a company and performing a business of managing and analyzing personnel information of employees (personnel) of the company. However, the personnel information processing apparatus 10 may be configured to manage and analyze not only the personnel information of the employees of the company but also the personnel information of the personnel other than the employees.

FIG. 1 is a block diagram showing a personnel information processing apparatus 10 according to the present embodiment.
As shown in FIG. 1, the personnel information processing apparatus 10 includes, for example, an analysis means, a CPU (Central Processing Unit) 11 as a display control means, an operation unit 12, a RAM (Random Access Memory) 13, and display means. A display unit 14, a storage unit 15 as a storage means, and a communication unit 16 are provided. Each part of the personnel information processing apparatus 10 is connected via a bus 17.

The CPU 11 controls each part of the personnel information processing apparatus 10. The CPU 11 reads a designated program among the system programs and application programs stored in the storage unit 15 and expands them in the RAM 13, and executes various processes in cooperation with the program.

The operation unit 12 has a key input unit such as a keyboard and a pointing device such as a mouse, receives key operation input and position operation input from a user (operator), and outputs the operation information to the CPU 11.

The RAM 13 is a volatile memory and forms a work area for temporarily storing various data and programs.

The display unit 14 is composed of an LCD (Liquid Crystal Display), an EL (Electroluminescent) display, or the like, and performs various displays according to display information instructed by the CPU 11.

The storage unit 15 is composed of an HDD (Hard Disk Drive), an SSD (Solid State Drive), or the like, and is a storage unit capable of writing and reading data and programs. The storage unit 15 stores, for example, the personnel analysis program 151, the employee basic information table T100, and the analysis setting table T200, which will be described later.

The communication unit 16 is composed of a network card or the like, and is connected to a device such as a database on a communication network (not shown). The communication network is a LAN (Local Area Network), a WAN (Wide Area Network), or the like. The CPU 11 can communicate with a device on the communication network via the communication unit 16.

In the present embodiment, the employee basic information table T100, the analysis setting table T200, and the like will be described as being stored in the storage unit 15, but in addition to such a configuration, for example, a communication connection is made via the communication unit 16. The employee basic information table T100 and the analysis setting table T200 are stored in a storage device such as a server, and the CPU 11 accesses the storage device via the communication unit 16 as necessary, and the employee basic information table T100 and the analysis setting are set. The table T200 may be read and written.

In addition to the configuration provided in the personnel information processing device 10, the operation unit 12 receives key operation input and position operation input by, for example, an operation device communicatively connected via the communication unit 16, and the operation information thereof. May be configured to output to the CPU 11.
In addition to the configuration provided in the personnel information processing device 10, the display unit 14 also displays various displays on the display device connected via the communication unit 16, for example, according to the display information instructed by the CPU 11. It may be configured to be used.

Next, the information stored in the storage unit 15 will be described with reference to FIGS. 2 and 3. FIG. 2 is a diagram showing the configuration of the employee basic information table T100. FIG. 3 is a diagram showing the configuration of the analysis setting table T200.

The employee basic information table T100 is a data table that manages the current basic information (personnel information) of employees belonging to the company. As shown in FIG. 2, the basic employee information table T100 has "employee number" T101, "employee name" T102, "affiliation" T103, "position" T104, "gender" T105, "age" T106, and "motivation" T107. , "Personnel evaluation" T108, "years of service" T109, "overtime hours" T110 and the like.

The "employee number" T101 is a unique number that enables individual employees to be identified. The "employee name" T102 is the name of the employee of the "employee number" T101. "Affiliation" T103 is a department to which an employee of "employee number" T101 belongs. The "position" T104 is the title of the employee of the "employee number" T101. "Gender" T105 is the gender of the employee of "employee number" T101.

Further, the "age" T106 is the age of the employee of the "employee number" T101. The "motivation" T107 is a numerical value that evaluates the degree of motivation of the employee of the "employee number" T101. The "personnel evaluation" T108 is a numerical value that evaluates the ability of the employee of the "employee number" T101. The "years of service" T109 is the number of years that the employee of the "employee number" T101 has continued to work. The "overtime hours" T110 is the cumulative overtime hours of the employee of the "employee number" T101 for a predetermined period (for example, one month).
As described above, "age" T106 to "occupation type" T110 are items indicated by quantitative evaluation values.

The analysis setting table T200 is a data table used in the personnel analysis process described later. As shown in FIG. 3, the analysis setting table T200 includes "analysis target item" T201, "item 1" T202, "analysis method 1" T203, "item 2" T204, "analysis method 2" T205, and "item 3". It has fields such as T206 and "Analysis Method 3" T207.

“Analysis target item” T201 indicates an item that serves as an analysis cut point in the personnel analysis process. Although only "motivation" is described in FIG. 3, "analysis target item" T201 has fields for all items that can be analysis target items including "age" T106 to "overtime hours" T110.
“Item 1” T202 indicates another item used in the personnel analysis process. The items of "item 1" T202 are preset items (related items) that are considered to affect the items of "analysis target item" T201.

"Analysis method 1" T203 indicates an analysis method used in the personnel analysis process, which is set according to the combination of the items of "analysis target item" T201 and "item 1" T202. Examples of the analysis method include "positive correlation", "negative correlation", "curve correlation", and "separation correlation". Positive correlation is a method of analyzing in the relationship that when one variable increases, the other variable increases. Negative correlation is a method of analysis in which one variable increases and the other variable decreases. Curve correlation is a method of analyzing in a relationship in which when one variable increases, the other variable changes in a curve. Separation correlation is a method of analyzing positive correlation and negative correlation separately.

Similarly, "item 2" T204 indicates another item used in the personnel analysis process, and "analysis method 2" T205 is set according to the combination of the items of "analysis target item" T201 and "item 2" T204. The analysis method is shown.
Further, "item 3" T206 indicates another item used in the personnel analysis process, and "analysis method 3" T207 is set according to the combination of the items of "analysis target item" T201 and "item 3" T206. The analysis method is shown.
Further, "item 4" T28 indicates another item used in the personnel analysis process, and "analysis method 4" T29 is set according to the combination of the items of "analysis target item" T201 and "item 4" T28. The analysis method is shown.
The items shown in "Analysis target item" T201, "Item 1" T202, "Item 3" T206 and "Item 4" T28 are items shown by quantitative evaluation values.

[Operation of personnel information processing device]
Next, the operation of the personnel information processing apparatus 10 will be described.
FIG. 4 is a flowchart showing a personnel analysis process executed by the personnel information processing apparatus 10.
In the personnel information processing apparatus 10, for example, the CPU 11 reads from the storage unit 15 and appropriately expands the personnel analysis program into the RAM 13 triggered by the input of the execution instruction of the personnel analysis process from the user via the operation unit 12. Execute personnel analysis processing in collaboration with 151.

As shown in FIG. 4, first, the CPU 11 causes the display unit 14 to display the analysis condition screen G1 for the user to specify the analysis condition (step S11).

FIG. 5 is a diagram showing an example of the analysis condition screen G1.
As shown in FIG. 5, the analysis condition screen G1 has a target organization designation column G11, an analysis item designation column G12, an execution button G13, and an end button G14.

A pull-down menu can be displayed in the target organization designation field G11, and the organization to be analyzed can be specified by the user selecting one organization from the pull-down menu by operating the operation unit 12.

A pull-down menu can be displayed in the analysis item designation field G12, and the user can specify an item to be analyzed by selecting one item from the pull-down menu by operating the operation unit 12.
When the user selects one item in the analysis item designation field G12, the analysis setting table T200 is referred to, and "item 1" T202, "item 1" T202, "item 1" in the field in which the "analysis target item" T201 is the selected one item. The items indicated by "item 2" T204, "item 3" T206, and "item 4" T208 are selected as other items used in the correlation analysis process.

The execution button G13 receives an input instructing the execution of the designated operation of the target organization designation field G11 and the analysis item designation field G12 by the user pressing the button via the operation unit 12.
The end button G14 receives an input instructing the closing (end of display) of the analysis condition screen G1 by being pressed by the user via the operation unit 12.

Returning to FIG. 4, the CPU 11 accepts the target organization and the analysis item designation operation (analysis condition setting operation) through the operation unit 12 on the analysis condition screen G1 (step S12), and presses the execute button G13. The execution instruction input by the operation is accepted (step S13), and the analysis result screen G2 is displayed on the display unit 14 (step S14).

FIG. 6 is a diagram showing an example of the analysis result screen G2.
As shown in FIG. 6, the analysis result screen G2 has an analysis result display field 100 and an end button 300.

The analysis result display column 100 has one or more display areas Rm. Here, the number of display areas Rm is determined according to the analysis target item selected in the analysis item designation field G12. For example, when "motivation" is selected as the analysis target item as in the example of FIG. 5, referring to the field in which "analysis target item 1" T21 of the analysis setting table T200 is "motivation", 4 Since one item is set, "4", which is the number of the set items, is the number of the display area Rm.

Each display area Rm has a correlation diagram display screen (correlation information display screen) 201, an analysis method setting screen (setting screen) 202, and a reflection button (instruction button) 203.

The correlation diagram display screen 201 is an area for displaying the correlation diagram 201a in which a graph is created in two-dimensional coordinates.
In the correlation diagram 201a, the vertical axis is the item of "analysis item 1" T21, and the horizontal axis is any item of "item 1" T202, "item 2" T204 or "item 3" T206.
In the correlation diagram 201a, data points for employees of the organization designated in the target organization designation column G11 are displayed (plot). Further, in the correlation diagram 201a, an analysis graph L1 which is a regression line as a result of regression analysis of this data and a coefficient of determination ^R2 related to the analysis graph L1 are displayed.
The correlation diagram 201a, the analysis graph L1 and the coefficient of determination ^R2 displayed on the correlation diagram display screen 201 are one aspect of the correlation information.

Here, the analysis graph L1 initially displayed on the initial screen of the correlation diagram display screen 201 is generated by the analysis method (initial setting analysis method) set in the analysis setting table T200.
Then, when the analysis method is set on the analysis method setting screen 202, the analysis graph L1 generated by the set analysis method is updated.

Further, the coefficient of determination R ² represents the accuracy of the result of the regression analysis (analysis graph L1), and the closer it is to 1, the higher the accuracy of the regression analysis, that is, the stronger the correlation between the analysis axes. Therefore, in the example of FIG. 6, it is shown that "personnel evaluation" has the strongest influence on "motivation" among "personnel evaluation", "age", "years of service", and "overtime hours".
The coefficient of determination R ² is equal to the square of the correlation coefficient R. This correlation coefficient R is a coefficient that can take a value from -1 to 1 depending on the correlation between the two items, and takes a positive value when the two items have a positive correlation. When it has a negative correlation, it takes a negative value, and the stronger the relationship, the closer the absolute value is to 1. Therefore, since the correlation between the two items can also be shown by the correlation coefficient R, the correlation coefficient R may be displayed instead of the coefficient of determination R ² on the correlation diagram display screen 201.
Further, on the correlation diagram display screen 201, when the cursor is placed on the data, the personnel information corresponding to the data may be displayed.

The analysis method setting screen 202 is an area for setting an analysis method used for generating the analysis graph L1. On the analysis method setting screen 202, a plurality of analysis methods are displayed so as to be selectable by the user by a check box. Further, on the analysis method setting screen 202, a schematic graph (schematic diagram 202a) visually showing what each analysis method is like is displayed. In FIG. 6, four schematic views 202a for each of the four analysis methods are displayed on the analysis method setting screen 202. The plurality of analysis methods, schematic diagram 202a, displayed on the analysis method setting screen 202 are selection setting information.
In the analysis method setting screen 202, the check box is checked for the analysis method selected in the generation of the analysis graph L1 displayed on the correlation diagram display screen 201.
Then, the analysis method can be changed by rechecking the check box of the analysis method to be selected.

The reflection button 203 is a button for approving the selection on the analysis method setting screen 202. When the user presses the reflection button 203 via the operation unit 12, the content is reflected on the correlation diagram display screen 201 based on the setting of the analysis method setting screen 202.

Further, the end button 300 receives an input instructing the closing (end of display) of the analysis result screen G2 by the user pressing the operation unit 12 via the operation unit 12.

Returning to FIG. 4, the CPU 11 accepts the analysis method setting operation via the operation unit 12 on the analysis result screen G2 (step S15), and determines whether or not there is an execution instruction input by pressing the reflection button 203. If it is determined (step S16) and there is an execution instruction input (step S16: YES), the process proceeds to step S14.
As a result, the CPU 11 performs the correlation analysis process using the analysis method selected by the analysis method setting screen 202, and updates the analysis graph L1 displayed on the initial screen of the correlation diagram display screen 201.

FIG. 7 is a diagram showing an example of a state in which an analysis method is selected on the analysis method setting screen 202 of the display area R1 of FIG.
Further, FIG. 8 is a diagram showing an example of a state in which the correlation diagram 201a is updated on the correlation diagram display screen 201 of the display area R1 as a result of selecting the analysis method as shown in FIG. 7.
In FIG. 7, the original “positive correlation” is deselected on the analysis method setting screen 202 of the display area R1, and “negative correlation” is selected as the new analysis method. When the reflection button 203 is operated in this state, the correlation diagram 201a is updated on the correlation diagram display screen 201 of the display area R1 as shown in FIG. In FIG. 8, the initial upward-sloping analysis graph L1 is updated to the downward-sloping analysis graph L1, and the coefficient of determination ^R2 after exclusion related to the updated analysis graph L2 is displayed.

Returning to FIG. 4, when there is no execution instruction input (step S16: NO), the CPU 11 determines whether or not there is an end instruction input by pressing the end button 300 via the operation unit 12 (step S17). ..
Then, when there is no end instruction input (step S17: NO), the CPU 11 proceeds to the above step S15, while when there is an end instruction input (step S17: YES), the CPU 11 ends this process.

[Effect of this embodiment]
As described above, according to the present embodiment, the CPU 11 of the personnel information processing apparatus 10 performs a correlation analysis process for generating correlation information indicating a correlation between two items of personnel information, and a plurality of items that can be selected by the user. The selection setting information shown together with each schematic diagram 202a and the correlation information generated by performing the correlation analysis processing by the analysis method selected from the selection setting information are displayed side by side on the display unit 14.
Therefore, the user can view the selection setting information and the correlation information at the same time on the display unit 14, and the result is displayed when the analysis method is selected. Therefore, when performing a trial work of selecting the analysis method many times. It is easy to operate, and it is possible to improve the efficiency of personnel analysis work.

Further, according to the present embodiment, the CPU 11 generates an analysis graph as correlation information and displays the analysis graph.
Therefore, the user can confirm the correlation information in the graph format.

Further, according to the present embodiment, the CPU 11 displays the analysis graph larger than the schematic diagram 202a.
Therefore, it is possible to make it easier to check the analysis graph.

Further, according to the present embodiment, the CPU 11 generates the coefficient of determination ^R2 related to the analysis graph as the correlation information and displays the coefficient of determination ^R2 .
Therefore, it is possible to make the personnel analysis work easier.

Further, according to the present embodiment, the CPU 11 causes the display unit 14 to display the reflection button 203 instructing the execution of the correlation analysis process by the selected analysis method.
Therefore, the user's analysis method selection operation can be started by the operation of the reflection button 203.

Further, according to the present embodiment, the CPU 11 displays the analysis method used in the correlation analysis processing among the plurality of analysis methods as a selected state.
Therefore, the user can recognize the selected analysis method on the display unit 14.

Further, according to the present embodiment, when the combination of items is set, the CPU 11 is set by referring to the analysis setting table T200 that stores in advance the analysis method of the initial setting corresponding to the combination of items. The initial setting analysis method corresponding to the combination of items is specified, the correlation analysis process is performed by the specified initial setting analysis method, the initial correlation information is generated, and the generated initial correlation information is initially displayed.
Therefore, an initial analysis graph that has been subjected to correlation analysis processing by the default analysis method is automatically generated. Therefore, since the analysis graph is generated without the user selecting the analysis method, the efficiency of the personnel analysis work can be further improved.

Further, according to the present embodiment, when the CPU 11 receives a user operation for designating one item from a plurality of items to be analyzed, the CPU 11 stores the related items related to each of the plurality of items in advance. With reference to the analysis setting table T200 to be performed, the related items associated with one item are extracted, and an analysis graph between the one item and the related items is generated.
Therefore, the user can easily set the analysis item.

Further, according to the present embodiment, when a plurality of related items associated with one item are extracted, the CPU 11 generates an analysis graph between the one item and each related item, and the display unit 14 Displays a plurality of generated correlation information side by side.
Therefore, the user can compare a plurality of analysis graphs, which enables more detailed analysis.

In the above embodiment, an example in which the HDD and SSD of the storage unit 15 are used as a computer-readable medium for the program according to the present invention is disclosed, but the present invention is not limited to this example. As another computer-readable medium, a portable recording medium such as a flash memory or a CD-ROM can be applied. Further, a carrier wave (carrier wave) is also applied to the present invention as a medium for providing the data of the program according to the present invention via a communication line.

Further, in the above embodiment, the configuration in which the other analysis items are automatically set by the user selecting one analysis item in the analysis item designation field G12 on the analysis condition screen G1 will be illustrated and described. However, for example, as shown in FIG. 9, the analysis condition screen G1-1 including two analysis item designation fields G15 and G16 in which the user selects two analysis items may be used. FIG. 9 is an embodiment in which the initial setting analysis method corresponding to the two analysis item designation columns G15 and G16 is automatically displayed in the analysis method column G17.

In this case, for example, as shown in FIG. 10, since two analysis items are selected by the user, the analysis result screen G2-1 having one display area R1 is displayed.
FIG. 10 also displays a schematic graph (schematic diagram 202a) visually showing what each analysis method looks like on the analysis method setting screen 202.
Then, as shown in FIG. 11, when the analysis method setting is selected on the analysis method setting screen 202 and the reflection button 203 is operated, the analysis graph L1 of the correlation diagram 201a is analyzed as shown in FIG. The analysis graph L2, which is the result of regression analysis by the analysis method selected on the method setting screen 202, is updated, and the excluded determination coefficient ^R2 related to the updated analysis graph L2 is displayed. When the analysis method is "separation correlation", two coefficients of determination R ² are displayed.

Further, in the above-described embodiment, the configuration for generating a biaxial graph is illustrated and described, but for example, a triaxial graph may be generated.

In addition, it goes without saying that the detailed configuration and detailed operation of each part constituting the personnel information processing apparatus 10 can be appropriately changed without departing from the spirit of the present invention.

Although the embodiments of the present invention have been described, the scope of the present invention is not limited to the above-described embodiments, but includes the scope of the invention described in the claims and the equivalent scope thereof.
The inventions described in the claims originally attached to the application of this application are described below. The claims described in the appendix are the scope of the claims originally attached to the application for this application.
[Additional Notes]
<Claim 1>
Analytical means for performing correlation analysis processing to generate correlation information indicating the correlation between the above items of personnel information including a plurality of quantitative items related to personnel.
The selection setting information showing a plurality of analysis methods that can be selected by the user together with each schematic diagram, and the correlation information generated by performing the correlation analysis process by the analysis method selected from the selection setting information are arranged in the display means. An information processing device including a display control means for displaying.
<Claim 2>
The analysis means generates an analysis graph as the correlation information, and the analysis means generates an analysis graph.
The information processing apparatus according to claim 1, wherein the display control means displays the analysis graph.
<Claim 3>
The information processing apparatus according to claim 2, wherein the display control means displays the analysis graph larger than the schematic diagram.
<Claim 4>
The analysis means generates a coefficient of determination related to the analysis graph as the correlation information.
The information processing apparatus according to claim 2 or 3, wherein the display control means displays the coefficient of determination.
<Claim 5>
The information processing apparatus according to any one of claims 1 to 4, wherein the display control means causes the display means to display an instruction button instructing execution of the correlation analysis process by the selected analysis method.
<Claim 6>
The information processing apparatus according to any one of claims 1 to 5, wherein the display control means displays the analysis method used in the correlation analysis processing as a selected state among the plurality of analysis methods.
<Claim 7>
When the combination of items is set, the analysis means refers to a storage means that stores in advance the analysis method of the initial setting corresponding to the combination of items, and analyzes the initial setting corresponding to the combination of the set items. The method is specified, and the above-mentioned correlation analysis process is performed by the specified initial setting analysis method to generate initial correlation information.
The information processing apparatus according to any one of claims 1 to 6, wherein the display control means initially displays the generated initial correlation information on the display means.
<Claim 8>
When the analysis means receives a user operation for designating one item from a plurality of items to be analyzed, the analysis means refers to a storage means for storing related items related to each of the plurality of items in advance. The information processing apparatus according to any one of claims 1 to 7, wherein the related item associated with the one item is extracted and the correlation information between the one item and the related item is generated.
<Claim 9>
When a plurality of the related items associated with the one item are extracted, the analysis means generates correlation information between the one item and each of the related items.
The information processing device according to claim 8, wherein the display control means displays a plurality of generated correlation information side by side on the display means.
<Claim 10>
Computer,
An analytical means for performing a correlation analysis process that generates correlation information indicating the correlation between the above items of personnel information including a plurality of quantitative items related to personnel.
The selection setting information showing a plurality of analysis methods that can be selected by the user together with each schematic diagram, and the correlation information generated by performing the correlation analysis process by the analysis method selected from the selection setting information are arranged in the display means. Display control means to display,
A program to function as.

10 Personnel information processing equipment (information processing equipment)
11 CPU
12 Operation unit 13 RAM
14 Display unit (display means)
15 Storage unit (memory means)
151 Personnel analysis program T1 Employee basic information table T2 Analysis setting table 16 Communication unit 17 Bus G1 Analysis condition screen G11 Target organization designation column G12, G15, G16 Analysis item specification column G13 Execution button G14 End button G17 Analysis method column G2 Analysis result screen 100 Analysis result display column Rm, R1 to R4 Display area 201 Correlation diagram display screen (correlation information display screen)
201a Correlation diagram (correlation information)
L1 analysis graph (correlation information)
202 Analysis method setting screen (setting screen)
202a Schematic diagram (selection setting information)
203 Reflection button (instruction button)
300 End button

Claims (6)

An item specified by user operation is selected as an analysis target item from a plurality of quantitative items in personnel information , and a plurality of items are associated with the item selected as the analysis target item among the remaining items in advance. A selection method for selecting an item registered as a related item together with any analysis method among the analysis methods, and
A first correlation graph showing the correlation between the analysis target item and the related item when a plurality of the related items are selected by the selection means, and the analysis method registered in association with the related item. A display control means for displaying the first correlation graph to which the above is applied side by side on the same screen for a plurality of selected related items .
Equipped with
The display control means is a plurality of second correlation graphs showing the correlation between the analysis target item and the related item by adjoining the first correlation graph corresponding to the related item for each related item. , A plurality of second correlation graphs to which any one of the plurality of analysis methods is applied are displayed so that different analysis methods are applied.
An information processing device characterized by this . The display control means displays the plurality of second correlation graphs in place of the first correlation graph at the position where the first correlation graph is displayed, and displays the second correlation graph of the plurality of second correlation graphs. Display it so that the user can select it from among them.
The information processing apparatus according to claim 1. The display control means displays each of the plurality of second correlation graphs in a size smaller than that of the first correlation graph.
The information processing apparatus according to claim 1 or 2 . The display control means identifiablely displays a second correlation graph to which the same analysis method as the first correlation graph is applied among the plurality of second correlation graphs for each of the related items.
The information processing apparatus according to any one of claims 1 to 3, wherein the information processing apparatus is characterized by the above . It is a personnel analysis support method executed by an information processing device.
An item specified by user operation is selected as an analysis target item from a plurality of quantitative items in personnel information, and a plurality of items are associated with the item selected as the analysis target item among the remaining items in advance. A selection step to select an item registered as a related item together with one of the analysis methods,
A first correlation graph showing the correlation between the analysis target item and the related item when a plurality of the related items are selected in the selection step, and an analysis method registered in association with the related item. A display control step for displaying the first correlation graph to which the above is applied side by side on the same screen for a plurality of selected related items.
Have,
The display control step is a plurality of second correlation graphs showing the correlation between the analysis target item and the related item by adjoining the first correlation graph corresponding to the related item for each related item. , A plurality of second correlation graphs to which any one of the plurality of analysis methods is applied are displayed so that different analysis methods are applied.
A personnel analysis support method characterized by this. Computer,
An item specified by user operation is selected as an analysis target item from a plurality of quantitative items in personnel information, and a plurality of items are associated with the item selected as the analysis target item among the remaining items in advance. A selection method for selecting an item registered as a related item together with any of the analysis methods.
A first correlation graph showing the correlation between the analysis target item and the related item when a plurality of the related items are selected by the selection means, and the analysis method registered in association with the related item. A display control means for displaying the first correlation graph to which the above is applied side by side on the same screen for a plurality of selected related items.
To function as
The display control means is a plurality of second correlation graphs showing the correlation between the analysis target item and the related item by adjoining the first correlation graph corresponding to the related item for each related item. , A plurality of second correlation graphs to which any one of the plurality of analysis methods is applied are displayed so that different analysis methods are applied.
A program characterized by that.

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