JP2002183177A - Multidimensional data analysis support method and its implementation device, and recording medium with processing program thereof recorded - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide technology which can support efficient multidimensional data analysis by shortening the operation procedure up to the display of a graph and a table used for multidimensional data analysis. SOLUTION: This method has a step for displaying the slicing state of a dimension assigned to a page axis, a step for selecting a member showing that the slicing state is sliced among members of dimensions assigned to the page axis and an item axis in a display area, a step for calculating the number of combinations of members of the dimension of the page axis among selected members as the number of pieces of drawing information, a step for generating pieces of drawing information corresponding to the combinations by obtaining the slicing result of the member of the dimension of the item axis among the selected members, and a step for dividing the display area for displaying the slicing result by the calculated number of the pieces of drawing information and outputting the pieces of drawing information generated in the respective divided areas.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a multidimensional data analysis support apparatus for visually supporting a multidimensional database analysis, and more particularly, to presenting data used by an analyst as a material for decision making in a form suitable for analysis. The present invention relates to a technology effective when applied to a multidimensional data analysis support device that supports multidimensional database analysis.

[0002]

2. Description of the Related Art Conventionally, in the field of data warehouse,
It performs online analysis (OLAP), which analyzes data from multiple angles and visualizes it to find hidden features in a large amount of data. The multi-dimensional data analysis tool provides analysis means such as slicing to select members with a specific dimension, and has the function of visualizing the results in a graph or table. There is a way to display them together. Note that a multidimensional data analysis support system that extracts intended information by interactive operation and visually displays it on a screen is disclosed in Japanese Patent Application Laid-Open No. 10-4 / 1998.
No. 9544. The outline is to provide a function of selecting an item to be displayed using an interactive interface, and to display a result of aggregating data in a database according to the selected item.

[0003]

In the above-described conventional multidimensional data analysis, when performing multidimensional data analysis on different members in the same dimension assigned to the page axis,
A slicing operation must be performed on each member in the same dimension assigned to the page axis to create and display a graph or table individually. However, in the slicing with respect to the dimension assigned to the page axis of the graph or the table in the conventional technique, since only the operability for displaying the slicing result for only one member in the same dimension is provided, the slicing is performed. When performing multidimensional data analysis by displaying the slicing results for the dimensions assigned to the page axis, the members of the dimensions assigned to the page axis are sequentially changed, and the slicing results for each member are repeatedly displayed again. Operation was required. An object of the present invention is to solve the above-mentioned problems, to provide a technique capable of shortening an operation procedure until displaying a graph or a table used for multidimensional data analysis and supporting efficient multidimensional data analysis. It is in.

[0004]

According to the present invention, there is provided a multidimensional data analysis support apparatus for visually supporting multidimensional database analysis, wherein a multidimensional database is composed of dimensions which are assigned to a page axis. This is for displaying the slicing results of a plurality of members.

In the present invention, after receiving an assignment instruction for assigning a dimension in the multidimensional database to a page axis, an item axis or a legend axis in a display area for displaying a slicing result, the dimension assigned to each axis is received. Is generated.

In the axis-dimension correspondence table, the structure of the members in the dimension assigned to each axis is obtained from the multidimensional data aggregation table, and the slicing state table indicating the slicing state of each member for each dimension. After generating
The slicing state of the dimension assigned to the page axis in the dimension correspondence table is obtained from the slicing state table and displayed in the slicing state display area.

Next, the information of the dimension shown in the axis-dimension correspondence table is obtained, and a member whose slicing state in the slicing state table indicates that the slice is to be sliced is selected from the members of the dimension.

[0008] Among the selected members, for the dimension members assigned to the page axis in the axis-dimension correspondence table, the number of combinations of the members is calculated as the number of drawing information.

Also, among the selected members, for the dimension members assigned to the item axes in the axis-dimension correspondence table, the slicing results obtained by slicing with the dimension members assigned to the page axes are many. A plurality of pieces of drawing information corresponding to the combination are obtained from the dimensional data aggregation table.

Next, a display area for displaying a slicing result is divided by the calculated drawing information number, and the generated drawing information is output to each of the divided areas, thereby displaying a plurality of slicing results in a graph. And side by side as a table.

As described above, according to the present invention, when outputting a graph or a table used for multidimensional data analysis, the member configuration of the dimension assigned to the page axis and its slicing state are presented together with the graph and the table. The slicing operation can be efficiently performed by dynamically changing the display contents of the slicing result in accordance with the selection operation of the presented members, and by displaying a plurality of slicing results side by side, multidimensional Data analysis can be performed efficiently.

As described above, according to the multidimensional data analysis support apparatus of the present invention, the slicing results of a plurality of members of the dimensions that are assigned to the page axis in the dimensions constituting the multidimensional database are displayed. Shorten the steps to display graphs and tables used for dimensional data analysis,
It is possible to support efficient multidimensional data analysis.

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A multidimensional data analysis support apparatus according to an embodiment for visually supporting multidimensional database analysis will be described below.

FIG. 1 is a diagram showing an example of a basic user interface of the present embodiment. As shown in FIG. 1, in the slicing state display area 101 of the present embodiment, the member configuration of the dimension assigned to the page axis of the graph and which member of each dimension is sliced are displayed. Is displayed, and in the graph display area 102,
A plurality of graphs are displayed side by side according to the state of the slicing state display area 101.

In the case of FIG. 1, a member 111 "Kanto" and a member 112 "Kansai" in a dimension 110 "Region dimension", and a member 121 "Long-sleeved shirt" in a dimension 120 "Clothing dimension" are selected. At this time, the graph display area 10
2, members 111 in dimension 110 "regional dimension"
A graph 131 obtained by slicing the members 121 “long-sleeved shirt” of “Kanto” and the dimension 120 “clothing dimension”, and the members 111 in the dimension 110 “regional dimension”
A graph 132 is displayed as a result of slicing the members 121 “long sleeve shirt” of “Kansai” and the dimension 120 “clothing dimension”.

FIG. 2 is a diagram showing a modification of the slicing object of this embodiment. FIG. 2 illustrates a display example in a case where a member 122 “short-sleeved shirt” belonging to the dimension 120 “clothing dimension” in the state of FIG. 1 is newly targeted for slicing. In this case, the graph display area 202 dynamically includes members 211 “Kanto” in the dimension 210 “Region dimension”.
231 resulting from slicing the member 221 “long-sleeved shirt” of the dimension 220 “clothing dimension”
And member 211 "Kanto" in dimension 210 "Region dimension"
And graph 232 of the result of slicing on member 222 “short sleeve shirt” of dimension 220 “clothing sales”
And a graph 233 of the result of slicing the member 212 “Kansai” in the dimension 210 “region” and the member 221 “long-sleeved shirt” in the dimension 220 “clothing dimension”, and the member 212 “ A graph 234 of the result of slicing on the member 222 “short-sleeved shirt” of the dimension 220 “clothing sales” and the dimension 220 “clothing sales” is displayed side by side.

In this embodiment, when the slicing object is changed as described above, a plurality of graphs used for comparison and analysis can be created and the created plurality of graphs can be presented in a single operation. It is possible to reduce the time required for the operation input for changing the target, the graph display corresponding to the change of the slicing target, and the multidimensional data analysis using the plurality of slicing results.

FIG. 3 is a diagram showing a schematic configuration of the multidimensional data analysis support device of the present embodiment. As shown in FIG. 3, the multidimensional data analysis support device of the present embodiment includes a slicing state display processing unit 310 and a slicing result display processing unit 31.
And 1.

The slicing state display processing section 310 generates a slicing state table indicating the slicing state of the dimensions assigned to the page axis and the item axis in the graph display area 102 for displaying the slicing result, and displays the slicing state table on the page axis. The processing unit displays the slicing state of each member of the assigned dimension in the slicing state display area 101.

The slicing result display processing unit 311 selects a member whose slicing state indicates that the slice state is to be sliced, from members of the dimension assigned to the page axis and the item axis in the display area, and selects the selected member. Among the members, the number of combinations of the dimension members assigned to the page axis is calculated as the number of drawing information, and the slicing result of the dimension members assigned to the item axis among the selected members is calculated. A plurality of pieces of drawing information corresponding to the combination are obtained and a display area for displaying a slicing result is divided by the calculated number of pieces of drawing information, and the generated pieces of drawing information are divided into the divided areas. Is a processing unit for displaying a plurality of slicing results.

A program for causing the multidimensional data analysis support apparatus to function as the slicing state display processing unit 310 and the slicing result display processing unit 311 is a CD-RO.
After being recorded on a recording medium such as M and stored on a magnetic disk or the like, it is assumed to be loaded into a memory and executed. The recording medium for recording the program may be a recording medium other than the CD-ROM.

OLAP application 3 of this embodiment
Reference numeral 01 denotes a display for visually performing multidimensional data analysis, requesting the OLAP engine 302 to perform OLAP processing such as acquisition of multidimensional data, slicing and drilling down, and performing visual data analysis. A process for generating information and displaying it on the display device 305 is performed by the system control unit.

The OLAP engine 302 receives a data acquisition request, a slicing or a drill-down request from the OLAP application 301, and generates data required for generating drawing information in the OLAP application 301 according to the requested content. A process for returning to the OLAP application 301 is performed.

The system control unit 303 controls the display device 30
5. Input device 304, OLAP application 301
It is a processing unit that controls a data display command and the like from. The input device 304 is provided through a visual interface displayed by the OLAP application 301 on the display device 305.
OLAP operation such as slicing and drilling down, OL
This is a device for terminating the AP application 301. The display device 305 is a device for displaying drawing information generated by the OLAP application.

FIG. 4 is a diagram showing an example of a multidimensional data aggregation table according to this embodiment. In FIG. 4, the multi-dimensional data used for the analysis is stored in the OLAP engine 30 from the multi-dimensional database.
Multidimensional data aggregation table 401 aggregated in the format used in 2.
Is represented. The multidimensional data aggregation table 401 is a combination of the dimensions 402 “seasonal dimension”, the dimension 403 “regional dimension”, and the dimension 404 “clothing dimension” assigned to the item axis and the page axis, and the members constituting those dimensions. 7 is a table in which results of calculating numerical data strings 405 “sales” for records 411 to 427 corresponding to “.

FIG. 5 is a diagram showing an example of the axis-dimensional correspondence table of the present embodiment. In FIG. 5, the OLAP application 3
An axis-dimension correspondence table 501 indicating which dimension of the multidimensional data is assigned to each axis of the graph of 01 is shown. In the axis-dimension correspondence table 501, the page axis 511
For multidimensional data aggregation table dimension 403 "Region dimension"
And dimension 404 “clothing dimension”, and the item axis 5
12 is assigned the dimension 402 "whole season". In this example, no dimension is assigned to the legend axis 513.

FIG. 6 is a diagram showing an example of the slicing state table of the present embodiment. FIG. 6 illustrates an example of a slicing state table of the OLAP application 301.
These slicing state tables 601 to 603 indicate which members in the dimension are being sliced. In the slicing state table 601 of "region dimension",
The slicing state 611 of “entire area—Kanto” and the slicing state 612 of “entire area—Kansai” are “slice”. In the “clothing dimension” slicing state table 602, the slicing state 621 of “whole clothing—long-sleeved shirt” is “slicing”, and in the “seasonal dimension” slicing state table 603, “whole season—
From the slicing state 631 of “spring” to the slicing state 634 of “whole season—winter” is “slice”.

FIG. 7 is a flowchart showing the processing procedure of the overall processing performed by the OLAP application 301 of the present embodiment. As shown in FIG. 7, the slicing state display processing unit 310 of the OLAP application 301 converts the dimensions forming the multidimensional database into the OLAP engine 3.
02 from the multi-dimensional database aggregation table 401 via an O. 02, and after receiving from the user an assignment instruction to assign those dimensions to the page axis, item axis and legend axis in the graph display area 102, the dimensions assigned to each axis are determined. The generated axis-dimension correspondence table 501 is generated (step 701).

The slicing state display processing unit 310 determines the configuration of members in a dimension assigned to each axis by OLA.
After obtaining from the multidimensional data aggregation table 401 via the P engine 302 and receiving from the user an instruction indicating whether or not to perform slicing for each of the obtained members, the slicing state tables 601 to 603 are generated for each dimension (step 702). ).

Next, the slicing state display processing section 310
Are the dimension 403 “regional dimension” and the dimension 404 assigned to the page axis 511 in the axis-dimension correspondence table 501.
The “clothing dimension” slicing state is acquired from the slicing state table 601 and the slicing state table 602 and displayed in the slicing state display area 101 (step 7).
03).

The slicing result display processing unit 311 of the OLAP application 301 has an axis-dimensional correspondence table 501.
And OLAP according to the contents of the slicing state table of FIG.
The multidimensional data aggregation table 40 of FIG.
Numerical data is taken out from 1 to generate drawing information, and a graph is displayed in the graph display area 102 (step 70).
4).

Hereinafter, the OLAP application 301
Extracts an input event from the input device 304 (step 705), and repeats this processing until an end event occurs (step 706).

If the extracted input event is a member selection / deselection process on the slicing state display area 101, the slicing state table is updated (step 7).
08). When the slicing state table is updated, drawing information is generated and displayed using the updated slicing state table (step 709). If the extracted input event is other than the member selection / deselection processing on the slicing state display area 101, processing according to the content of the event is performed (step 707).

FIG. 8 is a slicing state table 6 according to this embodiment.
It is a figure which shows the example of update of 02. In FIG. 8, the result of updating the slicing state table 602 of the dimension assigned to the page axis 511 when the member 122 “short sleeve shirt” of the dimension 120 “clothing dimension” is selected on the slicing state display area 101 in FIG. , And “the entire clothing−” in the slicing state table 802 of the “clothing dimension”.
The slicing state 821 of “short sleeve shirt” has been updated to “slice”.

FIG. 9 is a flow chart showing the processing procedure from the generation of drawing information to the display of a graph according to the slicing state of this embodiment. In FIG. 9, FIG.
7 shows the contents of the slicing result display processing in steps 704 and 709 of FIG.
11 shows the processing contents from acquiring values from the multidimensional data aggregation table 401 in accordance with the contents of the slicing state tables 601 to 603, generating corresponding drawing information, and displaying a graph.

The slicing result display processing unit 311 of the OLAP application 301 has an axis-dimensional correspondence table 501.
, The information of the dimension assigned to each axis is acquired (step 901), and then the slicing result display processing unit 311 obtains the slicing state tables 601 to 603 of each dimension
, The member whose slicing state is "slice" is acquired (step 902).

In the axis-dimensional correspondence table 501 of the present embodiment,
The dimension 403 “area dimension” and the dimension 404 “clothing dimension” are assigned to the page axis 511, and the slicing state 611 of “whole area—Kanto” and the slicing state 6 of “whole area—Kansai” in the slicing state table 601.
12. In the slicing state table 602, "whole clothing-
Since the slicing state 621 of “long-sleeved shirt” is “slice”, the product “2” of the number of members “2” in the “region dimension” and the number of members “1” in the “clothing dimension” is calculated. The number of combinations of members of the page axis 511 is obtained, and is set as the number of drawing information to be generated (step 903).

Next, in step 904, the member “whole area—Kanto” of dimension 403 “region dimension” of the multidimensional data aggregation table 401 and the member “whole clothing—long sleeve shirt” of dimension 404 “clothing dimension” are processed. Slicing is performed on the graph subjected to slicing and the member “whole area—Kansai” of the dimension 403 “region area” of the multidimensional data aggregation table 401 and the member “whole clothing—long-sleeved shirt” of the dimension 404 “clothing dimension”. Generate drawing information of the performed graph.

That is, from the multi-dimensional data aggregation table 401, the member “whole season-
“Spring”, “whole season-summer”, “whole season-fall”, “whole season-winter”, and members of dimension 403 “regional dimension” “whole region-Kanto” and dimension 404 “clothing dimension” members “clothing” The numerical data sequence 405 for the records 412, 416, 420, and 424, which is the result of slicing the “whole-long-sleeved shirt”, is acquired via the OLAP engine 302, and drawing information for displaying the graph 131 is generated. . Also, from the multidimensional data aggregation table 401, the dimension 402
"Seasonal dimension" members "Seasonal-Spring", "Seasonal-
"Summer", "whole season-fall", "whole season-winter", dimension 4
03 "Region dimension" member "Region whole-Kansai" and dimension 4
Record 41, which is a result of slicing the member “whole clothing−long sleeve shirt” of the “clothing dimension” 04
Numeric data string 40 for 4, 418, 422, 426
5 is obtained via the OLAP engine 302 and the graph 13 is obtained.
2 is generated.

Next, a slicing result display processing unit 311
Divides the graph display area 102 into two by the number “2” of the drawing information calculated in step 903, and converts the drawing information of the graph 131 and the drawing information of the graph 132 generated in step 904 into each of the divided areas. The graph 131 and the graph 132 are displayed side by side by converting the coordinates to the size and outputting to each area (step 905). Upon receiving an input event indicating selection or deselection of a slicing member, the content of the slicing state table is updated, and a plurality of slicing results are displayed again.

The slicing state display area 1 shown in FIG.
When an input event for selecting a member 122 “short-sleeved shirt” of dimension 120 “clothing dimension” on 01 is received,
The contents of the slicing state table 602 are updated as in the slicing state table 802, and slicing is also performed on the member "whole clothing-short-sleeved shirt" of the dimension 404 "clothing dimension". Is calculated by multiplying the number of members “2” by the number of members “2” in the “clothing dimension” as the number of drawing information to be generated.

Then, in step 904, the dimension 402
"Seasonal dimension" members "Entire season-spring", "Entire season-
"Summer", "whole season-autumn", "whole season-winter", dimension 4
03 "Dimensions of Region" Members "Whole Region-Kanto" and Dimension 4
Record 41, which is the result of slicing the member “whole clothing−short sleeve shirt” of the “clothing dimension” 04
Numerical data string 40 for 3, 417, 421 and 425
5 is obtained via the OLAP engine 302 and the graph 23 is obtained.
2 is generated. Also, dimension 40
2. The members of the “seasonal dimension”, “whole season—spring”, “whole season—summer”, “whole season—fall”, “whole season—winter”, and the members of dimension 403 “regional dimension”, “whole area—Kansai” And dimension 404 "Clothing dimension" member "Whole clothing-short sleeve shirt"
Record 4 which is the result of slicing
Numeric data string 4 for 15, 419, 423, 427
05 via the OLAP engine 302 and graph 2
The drawing information for displaying 34 is generated.

In step 905, the graph display area 102 is divided into four by the number "4" of the drawing information calculated in step 903.
And the graphs 231 to 231 generated in step 904
The graphs 231 to 234 are displayed side by side by converting the drawing information of 234 into coordinates of the size of each of the divided areas and outputting the converted information to each area.

Although the slicing result is shown as a bar graph in the above display example, other output forms may be applied. In the above example, the members of the dimension to be sliced are selected by the check boxes. However, this interface is not necessarily required.
The member may be selected using another interface such as a pull-down menu.

FIG. 10 is a diagram showing an example in which the graph of FIG. 1 of the present embodiment is tabulated. FIG. 10 shows a table display area 100 when the contents of the graph shown in FIG. 1 are displayed in a table.
1 shows an example.

FIG. 11 is a diagram showing an example in which the graph of FIG. 2 of the present embodiment is tabulated. FIG. 11 shows a table display area 110 when the contents of the graph shown in FIG. 2 are displayed in a table.
1 shows an example. The change of the state from the graph display area 102 to the graph display area 202 is indicated by the table display area 1001.
Corresponds to the change of the state from the state to the table display area 1101.

As described above, according to the multidimensional data analysis support apparatus of the present embodiment, the slicing results of a plurality of members of the dimensions which are allocated to the page axis in the dimensions constituting the multidimensional database are displayed. In addition, it is possible to shorten an operation procedure until a graph or a table used for multidimensional data analysis is displayed, thereby supporting efficient multidimensional data analysis.

[0048]

According to the present invention, since the slicing results of a plurality of members of the dimension assigned to the page axis in the dimensions constituting the multidimensional database are displayed, graphs and tables used for multidimensional data analysis are displayed. It is possible to shorten the operation procedure up to the display and support efficient multidimensional data analysis.

[Brief description of the drawings]

FIG. 1 is a diagram illustrating an example of a basic user interface according to an embodiment.

FIG. 2 is a diagram illustrating a modification example of a slicing target of the present embodiment.

FIG. 3 is a diagram showing a schematic configuration of a multidimensional data analysis support device of the present embodiment.

FIG. 4 is a diagram illustrating an example of a multidimensional data aggregation table according to the embodiment.

FIG. 5 is a diagram illustrating an example of an axis-dimensional correspondence table according to the embodiment;

FIG. 6 is a diagram illustrating an example of a slicing state table according to the embodiment;

FIG. 7 is an OLAP application 301 according to the embodiment.
5 is a flowchart showing a processing procedure of an entire process performed by the user.

FIG. 8 is a diagram illustrating an example of updating a slicing state table 602 according to the present embodiment.

FIG. 9 is a flowchart illustrating a processing procedure from generation of drawing information according to a slicing state to display of a graph according to the embodiment;

FIG. 10 is a diagram showing an example of a case where the graph of FIG. 1 of the present embodiment is tabulated.

FIG. 11 is a diagram showing an example of a case where the graph of FIG. 2 of the present embodiment is tabulated.

[Explanation of symbols]

101: Slicing state display area, 102: Graph display area, 110: Dimension, 111: Member, 112: Member, 120: Dimension, 121: Member, 122: Member,
131 ... graph, 132 ... graph, 201 ... slicing state display area, 202 ... graph display area, 210 ... dimension, 211 ... member, 212 ... member, 220 ... dimension,
221, members, 222, members, 231, graphs, 2
32 ... Graph, 233 ... Graph, 234 ... Graph, 30
DESCRIPTION OF SYMBOLS 1 ... OLAP application, 302 ... OLAP engine, 303 ... System control part, 304 ... Input device, 3
05 display device, 310 slicing state display processing unit, 311 slicing result display processing unit, 401 multidimensional data aggregation table, 402 dimension, 403 dimension, 40
4 Dimension, 405 Numeric data string, 411 to 427 Record, 501 Axis-dimension correspondence table, 511 Page axis,
512: Item axis, 513: Legend axis, 601 to 603: Slicing state table, 611 and 612: Slicing state, 621: Slicing state, 631 to 634: Slicing state, 801: Slicing state table, 802 ...
Slicing state table, 821 ... slicing state, 10
01: Table display area, 1101: Table display area.

Claims (5)

[Claims] 1. A multi-dimensional data analysis support method for visually supporting multi-dimensional database analysis, wherein a slicing indicating a slicing state of a dimension assigned to a page axis and an item axis in a display area for displaying a slicing result. Generating a state table; displaying the slicing state of the dimension assigned to the page axis; and slicing state of the dimension members assigned to the page axis and the item axis in the display area. Selecting a member indicating slicing; calculating the number of combinations of dimension members assigned to the page axis among the selected members as the number of drawing information; Of the members, the slicing result of the dimension member assigned to the category axis A step of acquiring and generating a plurality of drawing data corresponding to the combination above, by dividing the display area for displaying the slicing result by the number of the calculated drawing information,
Displaying a plurality of slicing results by outputting each of the generated drawing information to each of the divided areas. 2. The slicing state table is updated upon receipt of an input event indicating selection or deselection of a slicing member, and a plurality of slicing results are displayed again. Multidimensional data analysis support method. 3. The method according to claim 1, wherein a plurality of slicing results are displayed as a graph or a table.
A multidimensional data analysis support method according to any one of the above. 4. A multi-dimensional data analysis support apparatus for visually supporting multi-dimensional database analysis, wherein a slicing indicating a slicing state of a dimension assigned to a page axis and an item axis in a display area for displaying a slicing result. A slicing state display processing unit that generates a state table and displays a slicing state of the dimension assigned to the page axis; and a slicing member among dimension members assigned to the page axis and the item axis in the display area. A member whose state indicates that the slice is to be selected is selected, and among the selected members, the number of combinations of dimension members assigned to the page axis is calculated as the number of drawing information, and the selected member is calculated. And obtaining the slicing result of the dimension member assigned to the category axis, Generating a plurality of pieces of drawing information corresponding to each other, dividing a display area for displaying a slicing result by the calculated number of pieces of drawing information, and outputting the generated pieces of drawing information to each of the divided areas. And a slicing result display processing unit for displaying a plurality of slicing results. 5. A display area for displaying a slicing result on a computer-readable recording medium on which a program for causing a computer to function as a multidimensional data analysis support device for visually supporting a multidimensional database analysis is displayed. A slicing state display processing unit that generates a slicing state table indicating the slicing state of the dimension assigned to the page axis and the item axis, and displays the slicing state of the dimension assigned to the page axis; From among the dimension members assigned to the axis and the item axis, a member whose slicing state indicates that the slice is to be sliced is selected, and among the selected members, the dimension member assigned to the page axis is selected. The number of combinations is calculated as the number of drawing information, and the selected A slicing result of a dimension member assigned to the item axis, a plurality of pieces of drawing information corresponding to the combination are generated, and a display area for displaying the slicing result is calculated. A program for causing a computer to function as a slicing result display processing unit that displays a plurality of slicing results by outputting the generated drawing information to each of the divided areas. Characteristic recording medium.