WO2019038843A1 - Display control program, generation program, information processing device, display control method and generation method - Google Patents

Abstract

According to the present invention, a figure is displayed which appropriately represents all information on measurement values. A storage unit (1a) stores a plurality of measurement values measured at the time of manufacturing or testing a product, etc. A calculation unit (1b) specifies, on the basis of a distribution state of the plurality of measurement values, a range (P) which is mapped to a figure (Gp) that represents a distribution state of first measurement values included in the plurality of measurement values. In addition, when there are second measurement values outside the range (P) among the plurality of measurement values, the calculation unit (1b) maps the second measurement values to a figure (Gq(Gq1, Gq2)) having a different format from that of the figure (Gp) and displays the mapped result on a display device (2).

Description

Display control program, generation program, information processing apparatus, display control method and generation method

The present invention relates to a display control program, a generation program, an information processing apparatus, a display control method, and a generation method.

A technology for displaying various measurement values in a graphic form (graph) is widely used. By displaying the information in a graphic form, for example, information such as trends and variations of measured values can be easily read. A box and whisker plot is an example of such a figure. A box and whisker plot is a diagram representing the distribution of measurement values using a box and a line (whisker) extending from the box.

JP, 2016-177517, A Japanese Patent Publication No. 2014-506578

If there are extremely outliers (outliers) among the measured values, if all the measured values including the outliers are displayed graphically, information on other parts that are not outliers can not be read. Sometimes difficult to read figures may be displayed.

In one aspect, the present invention has an object to provide a display control program, a generation program, an information processing apparatus, a display control method, and a generation method capable of displaying a figure in which information on the entire measurement value is properly represented.

In one aspect, a display control program is provided. The display control program causes the computer to specify, based on the distribution state of the plurality of measurement values, a range to be associated with the first graphic representing the distribution state of the first measurement values included in the plurality of measurement values. When there is a second measurement value out of the range among the measurement values, when displaying the first figure, the second measurement value corresponds to the second figure of a format different from the first figure Execute the processing to be displayed.

Also, a generator is provided that generates a box plot according to the distribution of measurements. The generation program causes the computer to execute a process of displaying a value exceeding a predetermined multiple of the hinge spread rate as a symbol on the box and whisker plot side relative to the corresponding position on the graph.

Furthermore, in one aspect, an information processing apparatus is provided that executes the same processing as the processing according to the above display control program.
In one aspect, an information processing apparatus is provided that executes the same process as the process according to the above-described generation program.

In one aspect, a display control method is provided in which a computer executes the same process as the process according to the above display control program.
In one aspect, a generation method is provided in which the computer executes the same process as the process according to the above-described generation program.

In one aspect, it is possible to display a figure in which information on the entire measurement value is properly represented.
The objects, features and advantages of the present invention will become apparent from the following description taken in conjunction with the accompanying drawings, which represent preferred embodiments of the present invention.

It is a figure showing an example of the display control concerning a 1st embodiment. It is explanatory drawing about the example of a figure display by the display apparatus which concerns on 1st Embodiment. It is a figure showing an example of the display processing system concerning a 2nd embodiment. It is a figure showing an example of the hardware constitutions of the display control concerning a 2nd embodiment. It is a figure which shows an example of the function which the display control apparatus which concerns on 2nd Embodiment has. It is a figure which shows an example of the data which the memory | storage part which concerns on 2nd Embodiment memorize | stores. It is a figure which shows an example of the display processing flow which concerns on 2nd Embodiment. It is a figure which shows an example of the calculation processing flow of the outlier information which concerns on 2nd Embodiment. It is a figure which shows an example of a production | generation of the data for drawing of the outlier information which concerns on 2nd Embodiment, and a drawing processing flow. It is a figure which shows an example of a production | generation processing flow of the data for drawing of the outlier information which concerns on 2nd Embodiment. It is a figure which shows the 1st example of a drawing by the display control apparatus which concerns on 2nd Embodiment. It is a figure which shows the example of a drawing at the time of plotting an outlier. It is a figure which shows the example of a 2nd drawing by the display control apparatus which concerns on 2nd Embodiment. It is a figure which shows the 3rd example of a drawing by the display control apparatus which concerns on 2nd Embodiment. It is a figure explaining the difference in the figure by the existence of an outlier. It is a figure which shows an example of the data which the memory | storage part which concerns on 3rd Embodiment memorize | stores. It is a figure which shows the example of a drawing by the display control apparatus which concerns on 3rd Embodiment.

Embodiments will be described below with reference to the drawings.
First Embodiment
FIG. 1 is a diagram showing an example of a display control apparatus according to the first embodiment.

The display control device 1 illustrated in FIG. 1 causes the display device 2 to display distribution states of a plurality of measurement values in a graphic form (graph). For example, various accumulated data such as processing time for each process and failure occurrence probability obtained in the manufacturing process of products are grouped under predetermined conditions, and grouped data groups are converted into various figures such as box and whisker plot and histogram. Display. For example, by displaying a predetermined data group in a graphic form as described above, information such as tendency or variation of data included in the group becomes easy to read.

The display control device 1 includes a storage unit 1a and an operation unit 1b. The storage unit 1a is realized, for example, as a storage area of a storage device (not shown) provided in the display control device 1, such as a random access memory (RAM) or a hard disk drive (HDD). The arithmetic unit 1 b is realized, for example, as a processor (not shown) included in the display control device 1. In this case, the processing of the arithmetic unit 1b is realized by the processor executing a predetermined program. Note that the processor may include a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), and the like.

In addition, a display device 2 is connected to the display control device 1. The display device 2 is realized as, for example, a CRT (Cathode Ray Tube) display or a liquid crystal display.
The storage unit 1a stores a measurement value group 1a1 including a plurality of measurement values to be displayed graphically. For example, the storage unit 1a stores various measurement values obtained in the manufacturing process of the product, such as processing time for each process and failure occurrence probability.

Arithmetic unit 1 b executes processing for drawing measurement values group 1 a 1 stored in storage unit 1 a as a figure. The calculation unit 1b draws the distribution state of each measurement value included in the measurement value group 1a1 as a graphic Gp (first graphic) and a graphic Gq (second graphic).

First, based on the distribution state of the measurement values included in the measurement value group 1a1, the calculation unit 1b specifies the range P to be associated with the graphic Gp from the distribution range of these measurement values. The range P for determining the measurement value to be displayed by the graphic Gp is specified. For example, as shown in the lower side of FIG. 1, in the case of drawing a box and whiskers chart as the figure Gp, the calculation unit 1b firstly performs the first quartile based on the measurement values included in the measurement value group 1a1. Calculate the number, second quartile (median) and third quartile. Next, operation unit 1 b sets the lower limit value to the minimum data in the range below a predetermined number of times (for example, 1.5 times) the length of the quartile range (third quartile minus first quartile). A range P of measurement values to be drawn with a box and whisker plot is specified with the maximum data in the upper range of a predetermined number of times (for example, 1.5 times) upper limit value. Arithmetic unit 1b uses a measurement value included in specified range P from measurement value group 1a1, and draws a graphic Gp representing the distribution state of the measurement value of range P, that is, a box and whisker graph in this example. Generate drawing data.

When the range P for drawing the figure Gp is specified by the calculation unit 1b, there may occur a case where the measured value deviates from the range P depending on the distribution state of the measured value. Here, among the measurement values included in the measurement value group 1a1, the measurement values that deviate from the range P in this way are referred to as "outliers". When an outlier occurs in this manner, the calculation unit 1b converts the measurement values included in the range Q out of the range P among the measurement values included in the measurement value group 1a1 into the figure Gq having a format different from the figure Gp. Display in association. For this display, the calculation unit 1b generates drawing data for drawing a graphic Gq that represents the distribution of outliers in a format different from that of the graphic Gp.

The lower side of FIG. 1 illustrates the case where outliers out of the range P occur in the upper range Q1 and the lower range Q2 of the range P due to the specification of the range P, respectively. The graphic Gq1 is an example of a graphic representing the distribution of measurement values included in the range Q1, and the graphic Gq2 is an example of a graphic representing the distribution of measurement values included in the range Q2. The figures Gq1 and Gq2 represent, for example, statistics calculated based on corresponding outliers by their shapes, sizes, colors, patterns, and the like. In the example of FIG. 1, the figures Gq1 and Gq2 form a triangle having a base of a length based on the number of samples of outliers in the corresponding range and a height based on the average value of those outliers. The distribution state of the outliers respectively included in the ranges Q1 and Q2 is expressed in a format different from that of the figure Gp by such a triangle. Arithmetic unit 1b generates drawing data for drawing such triangular figures Gq1 and Gq2 together with box Gaz figure Gp as in the above example.

The display device 2 displays the graphic Gp and the graphic Gq (Gq1, Gq2) based on the drawing data generated by the calculation unit 1b.
FIG. 2 is an explanatory view of an example of graphic display by the display device according to the first embodiment. FIG. 2 (A) shows an example in the case where the outliers are drawn by a figure indicating the statistic, and FIG. 2 (B) shows an example in the case where the outliers are plotted and drawn for comparison. Is shown.

In the display control device 1 described above, as shown in FIG. 2A, among the measured values included in the measured value group 1a1, the measured values included in the specific range (the range P described above) indicate the distribution state thereof. A box and whisker diagram 10 (the above-mentioned figure Gp) is drawn. The box and whisker diagram 10 has a box portion 10a and a whisker portion 10b extending vertically from there. Furthermore, in the display control device 1, outlier information 11 (statistics of outliers (measured values included in the above range Q) is displayed on the tip (upper and lower ends in this example) of the whiskers 10b of the box and whisker plot 10 The above figure Gq) is drawn.

On the other hand, in the method of plotting the outliers 12 on the same scale as the box plot 10 as shown in FIG. 2B instead of such outlier information 11, all the outliers 12 are plotted If such a drawing area is secured, the box and whisker plot 10 is compressed by that amount. When the outliers 12 include the extreme outliers 12a, such compression of the box and whisker plot 10 becomes more pronounced. If the box-and-whiskers diagram 10 is compressed and the box-and-whiskers diagram 10 is collapsed, the information shown by the box-and-whiskers diagram 10 such as the variation of the main data portion (the range P described above) in the data group is not an outlier 12 The possibility of being unreadable or difficult to read increases.

On the other hand, in the display control device 1, outlier value information 11 is drawn which represents the distribution state of outliers generated by the specification of the data represented by the box and whisker plot 10 in a form different from that of the box and whisker plot 10. The box plot 10 showing the distribution of measurement values in a specific range is drawn with its drawing area (its scale) set independently of the distribution of outliers. Therefore, it is possible to suppress the occurrence of a situation in which the box and whisker plot 10 is compressed and collapsed due to the distribution of outliers, whereby the information indicated by the box and whisker plot 10 can not be read properly or is difficult to read. On the other hand, the information on the distribution of outliers can be read from the outlier information 11 drawn together with the box plot 10.

In the display control device 1 according to the first embodiment, among the measured values included in the measured value group 1a1, the measured values included in the specific range P have a distribution state of a figure Gp such as a box and whiskers diagram. Be expressed. By specifying the range P based on the distribution of measurement values included in the measurement value group 1a1, the range P of measurement values that can be expressed in a state in which the distribution can be easily read by the graphic Gp can be appropriately set. . On the other hand, outliers that are measurement values outside the range P described above are displayed in association with a figure Gq having a format different from that of the figure Gp. Thus, information on the outliers such as the distribution state can be expressed in a more appropriate form than when the outliers are expressed by the graphic Gp.

As a result, the distribution of the entire measurement values can be properly expressed, and appropriate information can be read for these measurement values. In addition, because it becomes possible to read appropriate information for the entire measured value, it is possible to evaluate, for example, the appropriate evaluation of the process in which these measured values were obtained, and the appropriate productivity (line balance). Become.

Second Embodiment
FIG. 3 is a diagram showing an example of a display processing system according to the second embodiment.
A display processing system 1000 shown in FIG. 3 includes a display control device 100, a manufacturing device 500, and a test device 600 connected via a network 700. For example, the network 700 is a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or the like. Note that a plurality of manufacturing apparatuses 500 and a plurality of test apparatuses 600 may be connected to the network 700. Further, a display device 100 a is connected to the display control device 100. The display device 100a may be a device included in a terminal device (not shown) connected to the display control device 100 or a device connected to this terminal device.

The manufacturing apparatus 500 is an apparatus used in the manufacturing process of a certain product. The test apparatus 600 is an apparatus used in a test process performed after or before completion of a certain product. The display control apparatus 100 acquires measured values measured by the manufacturing apparatus 500 and the test apparatus 600 through the network 700, and displays a set of predetermined measured values extracted from the acquired measured values as a display device. Display on 100a. Hereinafter, a set of measurement values to be displayed graphically is referred to as a "data group". The measurement values measured by the manufacturing apparatus 500 and the test apparatus 600 may be provided to the display control apparatus 100 after being collected by a collecting apparatus (not shown).

Next, the hardware configuration of the display control device 100 will be described.
FIG. 4 is a diagram showing an example of the hardware configuration of the display control apparatus according to the second embodiment.

The display control device 100 includes a processor 101, a RAM 102, an HDD 103, an image signal processing unit 104, an input signal processing unit 105, a reading device 106, and a communication interface 107.

The processor 101 may be a multiprocessor. The processor 101 is, for example, a CPU, a DSP, an ASIC, or an FPGA. The processor 101 may be a combination of two or more of a CPU, a DSP, an ASIC, an FPGA, and the like.

The RAM 102 is a main storage device of the display control device 100. The RAM 102 temporarily stores at least part of an OS (Operating System) program and application programs to be executed by the processor 101. The RAM 102 also stores various data used for processing by the processor 101.

The HDD 103 is an auxiliary storage device of the display control device 100. The HDD 103 magnetically writes and reads data with respect to a built-in magnetic disk. The HDD 103 stores an OS program, an application program, and various data. The display control device 100 may include other types of auxiliary storage devices such as a solid state drive (SSD), and may include a plurality of auxiliary storage devices.

The image signal processing unit 104 causes the display device 100 a connected to the display control device 100 to display an image according to an instruction from the processor 101. A CRT display, a liquid crystal display or the like can be used as the display device 100a.

The input signal processing unit 105 acquires an input signal from the input device 105 a connected to the display control apparatus 100, and outputs the input signal to the processor 101. As the input device 105a, for example, a pointing device such as a mouse or a touch panel, a keyboard, or the like can be used.

The reading device 106 is a device that reads a program or data recorded on the recording medium 106 a. As the recording medium 106a, for example, a magnetic disk such as a flexible disk (FD: Flexible Disk) or HDD, an optical disk such as a CD (Compact Disc) or a DVD (Digital Versatile Disc), a magneto-optical disk (MO: Magneto-Optical disk) It can be used. Further, as the recording medium 106a, for example, a non-volatile semiconductor memory such as a flash memory card can be used. The reading device 106 stores, for example, a program or data read from the recording medium 106 a in the RAM 102 or the HDD 103 according to an instruction from the processor 101.

The communication interface 107 is an interface for communicating with the manufacturing apparatus 500 and the test apparatus 600 via the network 700.
As described above, the display control device 100 acquires the data measured by one or both of the manufacturing device 500 and the test device 600 through the network 700, and displays the predetermined data group as a graphic on the display device 100a. Run. Hereinafter, such display control processing will be described.

First, the functions of the display control device 100 will be described.
FIG. 5 is a diagram showing an example of functions of the display control apparatus according to the second embodiment.
The display control device 100 includes a storage unit 110, a data group extraction unit 120, a drawing data range calculation unit 130, a drawing area calculation unit 140, a main diagram drawing processing unit 150, an outlier extraction unit 160, an outlier information calculation unit 170, and an outlier. A value information drawing processing unit 180 and a display data output unit 190 are included.

The storage unit 110 is mounted as a storage area secured in the RAM 102 or the HDD 103. The storage unit 110 stores, for example, data measured by at least one of the manufacturing apparatus 500 and the test apparatus 600 and transmitted to the display control apparatus 100 through the network 700. The storage unit 110 may store data measured by at least one of the manufacturing apparatus 500 and the test apparatus 600 via a portable recording medium or the like without passing through the network 700.

Here, FIG. 6 is a diagram showing an example of data stored in the storage unit according to the second embodiment.
For example, as in the data table 111 shown in FIG. 6, the storage unit 110 stores the number given to each process and the data of the processing time measured in each process in association with each other. The number given to each process is used as identification information at the time of extracting from the storage unit 110 a data group used for drawing a main diagram to be described later.

The “process” on the data table 111 indicates one or more partial processes included in the manufacturing process in the manufacturing apparatus 500 or one or more partial processes included in the test process in the test apparatus 600. Alternatively, the “process” on the data table 111 may be one or more partial processes included in a series of processes performed by the manufacturing apparatus 500 and the test apparatus 600. “Processing time” on the data table 111 indicates the time taken from the start to the end of the corresponding process for one product.

Hereinafter, the description will be continued with reference to FIG.
Data group extraction unit 120, drawing data range calculation unit 130, drawing area calculation unit 140, main diagram drawing processing unit 150, outlier extraction unit 160, outlier information calculation unit 170, outlier information drawing processing unit 180, and display data The processing of the output unit 190 is realized, for example, by the processor 101 executing a predetermined application program.

The data group extraction unit 120 extracts a data group including measurement data to be drawn as a figure from the storage unit 110. When drawing a figure for the processing time of a certain process, the data group extraction unit 120 extracts the number assigned to the process and the processing time associated with the number from the storage unit 110. When drawing the processing time measured in each of the plurality of steps as a figure, the data group extraction unit 120 is provided for each step where the number of each step and the processing time associated therewith are identified by the numbers. Are extracted from the storage unit 110.

The drawing data range calculation unit 130 calculates, among the data groups extracted by the data group extraction unit 120, a range (drawing data range) of drawing target data to be drawn in the main diagram. The main diagram corresponds to the graphic Gp shown in FIG. 1 and, for example, a distribution of measurement data having a value in a surrounding area of a median value or an average value of values taken by the data group among the measurement data included in the data group It represents the state.

For example, when drawing a box and whisker plot as a main diagram, the drawing data range calculation unit 130 calculates a drawing data range to be drawn in a box and whisker plot from the extracted data group as follows.

First, based on the data distribution of the extracted data group, the drawing data range calculation unit 130 calculates the sum of five numbers (minimum, first quartile, second quartile, third quartile, maximum). At least the first quartile and the third quartile are calculated among the statistics called value). The first quartile corresponds to the lower end (lower hinge) of the box portion of the box and whisker plot, and the third quartile corresponds to the upper end (upper hinge) of the box portion of the box and whisker plot. The range from the first quartile to the third quartile is referred to as the interquartile range, hinge or degree of hinge spread, and the like. The quartile range length (3rd quartile-1st quartile) corresponds to the length of the box part of the box and whisker plot.

Next, the drawing data range calculation unit 130 calculates the minimum data in the range, for example, 1.5 times lower than the lower end of the box from the lower end of the box as a lower limit, and calculates the length of the box from the upper end of the box For example, the maximum data in the range 1.5 times higher is calculated as the upper limit value. The drawing data range calculation unit 130 sets a drawing data range to be drawn by a box and whiskers chart in a range from the calculated lower limit value to the upper limit value. The lower limit value and the upper limit value at this time correspond to the lower end and the upper end of the whisker portion extending respectively downward and upward from the box portion.

The drawing data range calculation unit 130 calculates, for the extracted data group, a drawing data range to be drawn by the box and whisker plot (box portion and whisker portion) as described above. When a plurality of data groups are extracted, the drawing data range calculation unit 130 calculates, for each of the extracted data groups, a drawing data range to be drawn as a box and whisker plot as described above.

Based on the drawing data range calculated by the drawing data range calculation unit 130, the drawing area calculation unit 140 calculates a drawing area (an axis scale thereof) in which the main diagram is drawn.
For example, when drawing a box and whiskers chart as a main diagram, the drawing area calculation unit 140 calculates the drawing area of the box and whiskers drawing as follows. That is, the drawing area calculation unit 140 sets the lower limit value (the lower end of the whisker portion) of the drawing data range to be drawn by the box and whiskers as the lower end of the drawing area of the box and whiskers. The drawing area calculation unit 140 sets the upper limit value (the upper end of the whisker portion) of the drawing data range to be drawn by the box and whiskers as the upper end of the drawing area of the box and whiskers. The drawing area calculation unit 140 calculates, for example, the lower end and the upper end of the drawing area for drawing the box and whisker plot in this way.

When drawing a plurality of box plots corresponding to a plurality of data groups in one drawing area, the drawing area calculation unit 140 calculates the drawing area of the box plot in the following manner. That is, the drawing area calculation unit 140 sets the lowest lower limit value among the lower limit values of the plurality of drawing data ranges calculated for the plurality of data groups as the lower end of the drawing area of each box and whiskers, and The maximum upper limit value among the upper limit values is set as the upper end of the drawing area of each box and whisker plot. For example, in this way, the drawing area calculation unit 140 calculates the lower end and the upper end of the drawing area for drawing a plurality of box and whisker plots as a common value.

The drawing area of the box and whisker plot may extend the drawing area calculated as described above in order to allow room for drawing areas at the upper end and the lower end of the whisker portion. For example, if the drawing area calculated as described above is to be expanded N times (N> 1), the upper end and the lower end of the expanded drawing area are calculated by the following equations (1) and (2), respectively. Ru.

Upper end = (upper limit + lower limit) / 2 + {(upper limit-lower limit) / 2} × N (1)
Lower end = (upper limit + lower limit) / 2-{(upper limit-lower limit) / 2} × N (2)
Although the drawing area calculation unit 140 automatically calculates the drawing area of the main diagram based on the drawing data range calculated by the drawing data range calculation unit 130 here, the drawing area is arbitrary by the user. May be specified as Alternatively, the drawing area of the main drawing may be adjustable by the user after being calculated by the drawing data range calculation unit 130.

The main drawing drawing processing unit 150 draws the main drawing based on the drawing data range calculated by the drawing data range calculation unit 130 and the drawing area information calculated by the drawing area calculation unit 140, and displays the main drawing on the display device 100a. Generate drawing data to do this.

For example, when drawing a box and whisker plot as a main diagram, the main diagram drawing processing unit 150 generates drawing data as follows.
That is, the main diagram drawing processing unit 150 has a length from the first quartile to the third quartile, and a box portion divided by the second quartile (median value) and a box portion Drawing data for drawing a box and whisker plot having a whisker portion extending to the lower limit value and the upper limit value of the drawing data range in a predetermined drawing area is generated. When drawing a plurality of box plots corresponding to a plurality of data groups in one drawing area, the main drawing drawing processing unit 150 displays the drawing data ranges of the plurality of data groups by box parts and whisker parts. Drawing data for drawing a plurality of box and whisker plots in a predetermined drawing area is generated.

An existing library may be used to generate drawing data including a box, a whisker, and a drawing area.
If the outlier extracting unit 160 determines that there is an outlier outside the drawing data range of the main diagram in the data group extracted by the data group extraction unit 120 based on the drawing data range calculated by the drawing data range calculation unit 130. , To extract its outliers.

That is, if there is data which falls below the lower limit value of the drawing data range calculated by the drawing data range calculation unit 130, the outlier extraction unit 160 takes it as an outlier (lower outlier), and Also, if there is data that deviates to the upper side, it is regarded as an outlier (upper outlier).

If the box plot is drawn as the main drawing, the outlier extraction unit 160 sets data falling below the lower end of the whisker portion of the box plot as the lower outlier, and the upper value above the upper end of the whisker portion. Let the data which deviates be a top outlier. When a plurality of data groups are extracted and the drawing data range is calculated for each of them, the outlier extracting unit 160 extracts outliers out of the drawing data range for each data group.

The outlier information calculation unit 170 calculates outlier information indicating the statistical value of the outlier as information on the outlier extracted by the outlier extraction unit 160. The outlier information calculation unit 170 outputs outlier information for each of the lower outlier and the upper outlier, for example, maximum value, minimum value, average value, first to third quartiles, number of samples, standard deviation, etc. Calculate statistics of

When outliers out of the drawing data range are extracted for each of a plurality of data groups, the outlier information calculation unit 170 calculates statistics of outliers (lower and upper outliers) for each data group. Calculate the outlier information to be shown.

The outlier information drawing processing unit 180 generates drawing data for displaying the outlier information calculated by the outlier information calculation unit 170 as a graphic having a format different from that of the main diagram. For example, when drawing a box-and-whisker plot as a main drawing, the outlier information drawing processing unit 180 expresses outlier information with a predetermined symbol, and draws it by arranging it under or above the beard portion of the box / whisker plot. Generate data for drawing.

As one example, the above outlier information calculation unit 170 calculates the number of samples and the average value of the lower outlier as outlier information of the lower outlier, and the number of samples of the upper outlier as outlier information of the upper outlier. And calculate an average value, and adopt a triangle as a symbol representing outlier information. The outlier information drawing processing unit 180, for example, represents the number of samples of the lower outliers by the width of a triangle, represents the average value of the lower outliers by the height of the triangle, and places the triangle under the whisker portion of the box and whisker plot. Generates drawing data to be drawn. Similarly, the outlier information drawing processing unit 180 represents, for example, the number of samples of the upper outliers by the width of a triangle, the average value of the upper outliers by the height of the triangle, and the triangle thereof in the whisker portion of the box plot. It generates drawing data that draws on top of.

When drawing box graphs of a plurality of data groups, the outlier information drawing processing unit 180 draws the corresponding outlier information below or above the whiskers of each box graph. Generate

Based on the drawing data generated by the main drawing drawing processing unit 150 and the outlier information drawing processing unit 180, the display data output unit 190 arranges the main drawing and the symbol of the outlier information on the display screen of the display device 100a. Generate display data to be displayed. The display data output unit 190 outputs the generated display data to the display device 100a, and causes the main screen and the symbol of the outlier information to be displayed side by side on the display screen.

For example, in the case of drawing one or more box plots on the display screen and drawing outlier information (outlier statistics) as triangles, the upper part of one or more box plots is drawn. An image in which a triangle representing the corresponding outlier information is drawn below is displayed on the display screen.

Next, processing performed by the display control device 100 will be described.
FIG. 7 is a diagram showing an example of a display processing flow according to the second embodiment.
The display control device 100 uses the data stored in the storage unit 110 to execute display processing as shown in FIG. 7. Hereinafter, the process shown in FIG. 7 will be described in order of step number.

(S11) The data group extraction unit 120 extracts a predetermined number of data groups to be drawn as a figure from the data table 111 of the storage unit 110.
For example, when the extraction number is 1, the data group extraction unit 120 extracts, from the data table 111, the processing time associated with the process number designated by the user as a data group. When the number of extractions is 2, the data group extraction unit 120 extracts, from the data table 111, the processing time associated with the number of the first process designated by the user as the first data group. At the same time, the data group extraction unit 120 extracts the processing time associated with the number of the second process designated by the user as a second data group.

(S12) The drawing data range calculation unit 130 selects one unselected data group from the one or more data groups extracted by the data group extraction unit 120, and the selected data group is displayed in the main diagram. Calculate the drawing data range to draw.

(S13) The drawing data range calculation unit 130 determines whether or not the process of calculating the drawing data range has been completed for all of the drawing target data groups extracted by the data group extraction unit 120. The drawing data range calculation unit 130 advances the process to step S12 when there is a data group for which the calculation process of the drawing data range is not completed. On the other hand, if the drawing data range calculation processing for all the data groups is completed, the drawing data range calculation unit 130 advances the process to step S14.

(S14) The drawing area calculation unit 140 calculates a drawing area for drawing the main figure based on the drawing data range calculated by the drawing data range calculation unit 130. When a plurality of data groups are extracted, the drawing area calculation unit 140, for example, follows the upper end and the lower end common to the drawing area of the main diagram corresponding to each data group according to the above-mentioned equations (1) and (2). calculate.

(S15) The main drawing drawing processing unit 150 generates drawing data of the main drawing based on the drawing data range calculated by the drawing data range calculation unit 130 and the drawing area information calculated by the drawing area calculation unit 140. Do.

(S16) The outlier extraction unit 160 determines whether there is an outlier that deviates from the drawing data range of the main diagram for the extracted data group based on the calculated drawing data range. If there is an outlier in at least one data group, the outlier extraction unit 160 proceeds to step S17. If there is no outlier in any data group, the outlier extraction unit 160 proceeds to step S20.

(S17) The outlier extraction unit 160 individually extracts outliers from each of the data groups determined to have an outlier.
(S18) The outlier information calculation unit 170 calculates outlier information indicating the statistical amount of the outliers extracted by the outlier extraction unit 160. When there are outliers in a plurality of data groups, outlier information indicating statistics is calculated for each data group having an outlier. The process of calculating outlier information will be further described later (FIG. 8).

(S19) The outlier information drawing processing unit 180 generates drawing data for drawing the outlier information calculated by the outlier information calculation unit 170 as a symbol. The process of generating drawing data for outlier information will be described later (FIGS. 9 and 10).

(S20) The display data output unit 190 generates display data for displaying an image on the display screen of the display device 100a, and outputs the display data to the display device 100a. If there is an outlier, display data is generated based on the drawing data of the main diagram generated in step S15 and the drawing data of the outlier information generated in step S19. On the other hand, when there is no outlier, display data is generated based on the drawing data of the main diagram generated in step S15.

The display control device 100 executes the display processing as shown in FIG. 7 and displays the main diagram such as a box and whiskers chart on the display screen of the display device 100a together with the outlier information when there is an outlier.

Here, the process of calculating outlier information described in step S18 of the display processing flow will be further described.
FIG. 8 is a diagram showing an example of a calculation processing flow of outlier information according to the second embodiment.

When the outlier extracting unit 160 extracts outliers from the data group, the outlier information calculating unit 170 calculates outlier information as shown in FIG. 8 for each of the data groups from which the outliers are extracted. Run. Hereinafter, the process shown in FIG. 8 will be described in order of step number.

(S21) The outlier information calculation unit 170 determines that the outlier extracted by the outlier extraction unit 160 includes an upper outlier which deviates above the drawing data range (the upper limit thereof) of the main diagram in the data group. It is determined whether or not. If there is a top outlier, the outlier information calculation unit 170 advances the process to step S22, and if there is no top outlier, the process proceeds to step S24.

(S22) If it is determined in step S21 that there is an upper outlier among the extracted outliers, the outlier information calculation unit 170 determines the statistics of the upper outlier (maximum value, minimum value, average value) , First to third quartiles, number of samples, standard deviation, etc.).

(S23) In the outliers extracted by the outlier extraction unit 160, the outlier information calculation unit 170 has lower outliers falling below the drawing data range (the lower limit value thereof) of the main diagram in the data group. Determine if there is. If there is a lower outlier, the outlier information calculation unit 170 proceeds to step S24. If there is no lower outlier, the outlier information calculation unit 170 ends the process.

(S24) If it is determined in step S23 that there is a lower outlier in the extracted outliers, the outlier information calculation unit 170 determines the statistical value (maximum value, minimum value, average value of the lower outlier) of the lower outlier. , First to third quartiles, number of samples, standard deviation, etc.).

By the process as shown in FIG. 8, the statistics of the upper outlier and / or the lower outlier included in the extracted outliers are calculated as outlier information.
Subsequently, the process of generating drawing data of outlier information described in step S19 of the display processing flow will be further described.

The outlier information drawing processing unit 180 expresses outlier information by a predetermined symbol, and generates drawing data for arranging and drawing the outlier information in the main diagram. Symbols are generated separately for each of the upper and lower outliers. In addition, when there are a plurality of data groups from which outliers are extracted, symbols are further individually generated for each data group.

When outlier information is expressed by a predetermined symbol, the expression target is the upper outlier statistic or the lower outlier statistic. The variable elements of the symbol are its shape (circle, triangle, trapezoid, etc.), rotation of shape (vertical inversion, etc.), size (width, height, etc.), color pattern (representation in multiple colors, expression in single-color shading) Etc). The number of types of variable elements of the symbol is selected as many as the number of objects to be represented. The object to be represented by the symbol and the variable element may be selected by the user or may be preset in the display control device 100.

FIG. 9 is a diagram showing an example of a flow of generation and drawing processing of drawing data of outlier information according to the second embodiment.
The outlier information drawing processing unit 180 executes drawing data generation processing of outlier information as shown in FIG. 9 in order to draw outlier value information calculated by the outlier information calculation unit 170. Hereinafter, the process shown in FIG. 9 will be described in order of step number.

(S31) The outlier information drawing processing unit 180 determines whether or not the user has selected an expression target and a variable element of outlier information expressed by a symbol. When the expression target and the variable element are selected, the outlier information drawing processing unit 180 proceeds to the process of step S32, and when the expression target and the variable element are not selected, the outlier information drawing processing unit 180 performs the process to step S33. Advance.

(S32) If the expression target and the variable element are selected by the user in step S31, the outlier information drawing processing unit 180 selects the expression target and the variable element of the outlier information as the expression target and the variable element selected by the user. Set to

(S33) When the expression target and the variable element are not selected by the user in step S31, the outlier information drawing processing unit 180 sets the expression target and the variable element of the outlier information as the preset expression target. For example, the expression target of the outlier information is set to the number of samples of outliers and the average value, and the variation element of the outlier information is set to the width and height of the triangle.

(S34) The outlier information drawing processing unit 180 generates drawing data for arranging and drawing outlier value information in the main figure by the expression target and the variable element set by the process of step S32 or step S33.

Here, as an example of the process of step S34, generation of drawing data when the expression target of outlier information is set to the number of samples and the average value and the variation element is set to the width and height of a triangle will be described.

FIG. 10 is a diagram showing an example of a generation processing flow of drawing data of outlier information according to the second embodiment. Hereinafter, the process shown in FIG. 10 will be described in order of step number.
(S41) The outlier information drawing processing unit 180 acquires the number of samples of the upper outlier and the number of samples of the lower outlier. When drawing outlier information with a main diagram for a plurality of steps, the number of upper outlier samples and the number of lower outliers are acquired for each step.

(S42) The outlier information drawing processing unit 180 sets the width (base) of the triangle representing the upper outlier to a width based on the number of samples of the upper outlier, and the width of the triangle representing the lower outlier Set the base) to a width based on the number of lower outlier samples. When drawing outlier information together with the main diagram for a plurality of steps, for each step, the width of the triangle representing the upper outlier is set to the width based on the number of samples of the upper outlier, and the lower outlier is set. Set the width of the triangle representing the to the width based on the number of lower outlier samples. In this case, for example, the maximum value of the number of samples in a plurality of steps is set as the maximum width of the triangle. The maximum width of the triangle is based on the size of the main diagram, for example, the width of the box of the box and whisker plot. The width of each step triangle is set to be proportional to the number of samples.

Regarding steps S41 and S42, for example, the number of samples of the upper outlier of three steps [P0001, P0002, P0003] is [8, 32, 4], and the number of samples of the lower outlier is [8, 16, 2]. It is assumed that In this case, the maximum number of samples is 32. Assuming that the main figure is a box and whisker plot, and the width of the box portion is 10, the maximum width of the triangle is set to 10, and the other widths are set in proportion to 10 based. That is, the upper outlier of the sample number [8, 32, 4] is set to a triangle of width [2.5, 10, 1.25], and the lower outlier of the sample number [8, 16, 2] is It is set to a triangle of width [2.5, 5, 0.625]. The width of the upper outlier triangle and the width of the lower outlier triangle may be set individually based on the size of the main diagram.

(S43) The outlier information drawing processing unit 180 acquires the average value of the upper outliers and the average value of the lower outliers. When drawing outlier information with a main diagram for a plurality of processes, an average value of upper outliers and an average value of lower outliers are acquired for each process.

(S44) The outlier information drawing processing unit 180 sets the height of the triangle representing the upper outlier to a height based on the average value of the upper outlier, and sets the height of the triangle representing the lower outlier. , Set the height based on the average value of the lower outliers. When drawing outlier information together with the main diagram for multiple steps, for each step, set the height of the triangle representing the upper outlier to the height based on the average value of the upper outlier, and The height of the triangle representing the outliers is set to a height based on the average value of the lower outliers. For example, the height of the triangle represents how far the average value of the upper outliers and the average value of the lower outliers of each process are from the water mark. The center point of the drawing area of the main figure is adopted as the level point, the distance between the average value of the upper outliers and the level point, and the distance between the average value of the lower outliers and the level point are calculated. Set the height of the triangle. The maximum value of the average value of multiple steps is taken as the maximum height of the triangle. The maximum height of the triangle is based on the size of the main diagram, for example, the width of the box of the box and whisker plot. The height of the triangle in each step is set to be proportional to the average value of each.

For the steps S43 and S44, for example, if the main figure is a box and whisker plot and the scale of the drawing area is 30 to 50, the level point is 40 at the scale center. It is assumed that the average value of the upper outliers of the three steps [P0001, P0002, P0003] is [104, 168, 136], and the average value of the lower outliers is [24, 8, 24]. Then, the distance between the average value of the upper outliers of these steps and the level point is [64, 128, 96], and the distance between the average value of the lower outliers and the level point is [16, 32, 16] . This distance is a parameter for setting the height of the triangle. The maximum value of the distance is 128. Assuming that the width of the box portion of the box and whisker plot is 10, the maximum height of the triangle is set to 10, and the other heights are set in proportion to 10 as a reference. That is, the upper outliers of the mean [64, 128, 96] are set to triangles of height [5, 10, 7.5], and the lower outliers of the mean [16, 32, 16] are high. It is set to a triangle of [1.25, 2.5, 1.25]. The height of the upper outlier triangle and the height of the lower outlier triangle may be set individually based on the size of the main diagram.

Through the processing shown in FIG. 10, drawing data of outlier information is generated in which the number of samples of outliers and the average value are represented by the width and height of a triangle, respectively.
By the above processing as shown in FIGS. 7 to 10, for example, box and whisker plot and outlier information as shown in the following FIG. 11 are drawn.

FIG. 11 is a diagram showing a first drawing example by the display control apparatus according to the second embodiment.
In FIG. 11, the box and whisker plot 200 representing the data distribution of the specific range in the data group of the three processes P0001, P0002, and P0003 is drawn in the drawing area 200a. At the same time, outlier information 210, which is a statistic of outliers from the specific range, is represented by a triangle and drawn at the tip of the whisker portion of the box and whisker plot 200. The data distribution of the specific range of each process is properly represented by the box and whisker plot 200, and the information (outlier information) on the upper and lower outliers of each process is represented by the width and height of the triangle. . In the example of FIG. 11, the width of the triangle represents the number of outlier samples, and the height of the triangle represents the average value of the outliers. By expressing the outlier information 210 as a triangle in this manner, the box and whisker plot 200 can be drawn on a scale independent of the distribution of the outliers, and the collapse of the box and whisker plot 200 can be suppressed.

Here, for comparison, a drawing example in the case where outliers are plotted on the same scale as the box and whisker plot 200 is shown in FIG.
As shown in FIG. 12, in the method of plotting outliers as it is, if a drawing area 200A in which all the outliers are plotted is secured, the box and whisker plot 200 is compressed accordingly. If the outliers include an extreme outlier 220a, the compression of such box plot 200 becomes more pronounced. If the box plot 200 is compressed and the box plot 200 collapses, information indicated by the box plot 200 such as non-outliers, such as variations in main data portions in the data group, can not be read properly or is difficult to read. The possibilities increase.

On the other hand, as shown in FIG. 11, in the method of representing the outliers of the data group from the specific range represented by the box and whisker plot 200 with the outlier information 210 as the statistic thereof, the box and whisker plot 200 However, the scale is set and drawn independently of the outlier distribution. Therefore, it is possible to suppress the occurrence of a situation in which the box and whisker plot 200 is compressed and collapsed due to the distribution of outliers, whereby the information indicated by the box and whisker plot 200 can not be read properly or is difficult to read.

Also, information about the distribution of outliers can be read from the outlier information 210 drawn with the box and whisker plot 200. Here, in the symbol indicating the outliers, the distribution of the outliers is expressed according to a criterion on a figure different from the scale of the box and whisker plot 200. With such a mechanism, the drawing range of the outlier with respect to the direction of the scale of the box plot 200 is narrower than the drawing range of the outlier when the outlier is plotted on the scale of the box plot 200 as shown in FIG. can do. That is, it is possible to make the information on the distribution of outliers intuitively easy to read while making it easy to read the data distribution of the main data range by making the drawing area of the box and whisker plot 200 relatively wide.

FIG. 13 is a view showing a second drawing example by the display control apparatus according to the second embodiment.
Although the example which draws the outlier information 210 at the tip of the whisker portion of the box and whiskers diagram 200 is shown in FIG. 11 above, for example, as shown in FIG. 13, separately from the drawing region 200 a of the box and whiskers diagram 200. The drawing area 200 b of the outlier information 210 may be provided. Even with such a drawing method, occurrence of situations such as the collapse of the box plot 200 due to the distribution of the outliers and the information indicated by the box plot 200 being unable to be read properly can be suppressed, and the outlier information 210 can be used to suppress outliers. Information on the distribution can be read.

FIG. 14 is a diagram showing a third drawing example by the display control apparatus according to the second embodiment.
The display control apparatus 100 may have a function of displaying information related to the selected outlier information 210 when the outlier information 210 is selected by a predetermined operation by the user. FIG. 14 exemplarily shows the case where the outlier information 210 of the upper outlier in step P0003 is selected, and the contents of the outlier included in it are displayed. The selection of the outlier information 210 can be performed, for example, by putting the mouse pointer on the outlier information 210 displayed on the display screen, aligning and clicking, or tapping with a finger. Can.

Third Embodiment
When the distribution of data groups is drawn graphically, not only the box and whisker plot as described above, but also histograms and scatter plots, appropriate figures can not be drawn due to outliers that accompany the specification of the drawing data range. Can happen.

FIG. 15 is a diagram for explaining the difference in figure depending on the presence or absence of an outlier.
As an example, FIG. 15 illustrates a histogram in which frequencies (the number of samples) are displayed by bars. When a histogram is drawn for all data of a certain data group, as shown in the upper diagram of FIG. 15, the presence of outliers 310 far from the main data portion 300 makes the drawing area 300A wider and the main data portion 300. May be combined into a few bars. In such a case, the distribution details of the main data portion 300 can not be read.

If a histogram is drawn on the data excluding the outliers 310 of a certain data group, it becomes possible to read the details of the distribution of the main data portion 300 as shown in the lower part of FIG. However, such a figure can not read information on the outlier 310.

Here, a histogram using bars as figures has been taken as an example, but even with histograms where frequencies are displayed as curves, or figures such as scatter plots, when details are drawn for all data, the details of the distribution of the main data portion are read The same problem as above can not occur.

Then, when drawing figures, such as a histogram, the example which employ | adopts the method as described in the said 2nd Embodiment is demonstrated as 3rd Embodiment. Here, as an example, a histogram using a bar is taken as the above main diagram.

Also in the third embodiment, the display control apparatus 100 as shown in FIGS. 3 to 5 is used, and the processes as shown in FIGS. 7 to 10 are executed. As a result, the drawing data range is specified for a certain data group, the histogram is drawn, and outlier information indicating the statistics of outliers outside the drawing data range is drawn together with the histogram.

In this case, the storage unit 110 of the display control apparatus 100 shown in FIG. 5 stores, for example, data measured by the test apparatus 600 as shown in FIG. 3 and transmitted to the display control apparatus 100 through the network 700. Note that the data measured by the test apparatus 600 may be stored in the storage unit 110 via a portable recording medium or the like without using the network 700.

Here, FIG. 16 is a diagram of an example of data stored in the storage unit according to the third embodiment.
For example, in the storage unit 110, as in the data table 112 shown in FIG. 16, the number given for each test condition is associated with the data of the error occurrence probability measured under each condition. It is memorized. The number assigned to each condition is used as identification information when extracting a data group used for drawing a histogram from the storage unit 110.

The display control apparatus 100 (FIG. 5) executes, for example, the following display processing using data of such a storage unit 110.
The data group extraction unit 120 extracts a predetermined number of data groups to be drawn using a histogram from the data table 112 of the storage unit 110 (step S11).

The drawing data range calculation unit 130 calculates a drawing data range to be drawn with a histogram for all data groups to be drawn extracted by the data group extraction unit 120 (steps S12 and S13). The drawing area calculation unit 140 calculates a drawing area for drawing a histogram based on the calculated drawing data range (step S14). The main diagram drawing processing unit 150 generates histogram drawing data based on the calculated drawing data range and information of the drawing area (step S15).

The outlier extraction unit 160 determines whether there is an outlier that deviates from the drawing data range of the histogram for each of the extracted data groups based on the calculated drawing data range (step S16). If there is no outlier, the display data output unit 190 generates display data based on the generated drawing data, and transmits the display data to the display device 100a (step S20). Thereby, a histogram is displayed on the display screen of the display device 100a.

On the other hand, when there is an outlier, the outlier extraction unit 160 extracts the outlier from the data group (step S17), and calculates outlier information indicating the statistic (step S18). The outlier information drawing processing unit 180 generates drawing data of the calculated outlier information (step S19). The display data output unit 190 generates display data based on the drawing data respectively corresponding to the histogram and the outlier information, and transmits the display data to the display device 100a (step S20). Thereby, the outlier information is displayed on the display screen of the display device 100a together with the histogram.

Here, among the display processing as described above, calculation of a drawing data range when drawing a histogram (steps S12 and S13) and calculation of a drawing area for drawing a histogram (step S14) are, for example, as follows. To be done.

First, for the data group to be drawn extracted from the storage unit 110, the average value μ and the standard deviation σ are obtained. Then, a drawing data range to be drawn by the histogram is set to, for example, a range of μ ± 3σ. The drawing data range may be set to a range of μ ± 2σ, depending on the type of data group, the evaluation criteria performed based on the drawn histogram, and the like. When the data distribution follows the normal distribution, 99.7% of data is included in the range of μ ± 3σ, and 95% of data is included in the range of μ ± 2σ.

The drawing data range set in this manner may be further corrected. In general, there is a theoretical cut-off line in the distribution of data. For example, in the case of data on probability, the data can only have values in the range of 0-1. When the drawing data range is, for example, μ ± 3σ, it may also become an instruction of the drawing data range exceeding the range of 0 to 1. In such a case, it is possible to obtain a good histogram by setting the drawing data range using theoretical lower and upper limits. Therefore, when setting the lower limit of the drawing data range, the larger value of μ-3σ and the theoretical lower limit is set as the lower limit of the drawing data range, and the upper limit of the drawing data range is set. Sets the larger value of μ + 3σ and the theoretical upper limit as the upper limit of the drawing data range. Good values of cutoff may be adopted as the lower limit and the upper limit of the drawing data range. For example, when the drawing data range is calculated as 2.12 to 3.43, the drawing data range may be set to 2.00 to 3.50.

Based on the drawing data range of the data group set or corrected as described above, a drawing area (the scale thereof) for drawing a histogram is calculated. For example, the lower limit and the upper limit of the drawing data range are calculated as the lower limit and the upper limit of the drawing area of the histogram. Data of the drawing data range of the data group is drawn as a histogram in the calculated drawing area (step S15).

Note that the width of the bar of the histogram (the range of the value of one bar) may be automatically set by the display control apparatus 100 based on the drawing data range of the data group, or may be arbitrarily set by the user. .

In addition, when drawing and comparing histograms for a plurality of data groups, adjustment may be performed such that the scale of the drawing area is the same among the histograms.

With the setting of the drawing data range for the data group as described above, data out of the drawing data range may occur. Thus, data out of the drawing data range is regarded as an outlier, and information on the outlier is drawn together with the histogram.

Extraction of outliers (steps S16 and S17) and calculation of outlier information (step S18) in the display processing as described above are performed, for example, as follows.
Out of the data groups, data out of the set drawing data range is extracted as an outlier, and the statistics (maximum value, minimum value, average value, first to third quartiles) of the extracted outliers , Sample number, standard deviation, etc.) are calculated as outlier information. The calculation of the outlier information is performed according to the calculation process flow of the outlier information as shown in FIG. 8 described above. That is, if there is an upper outlier falling out of the upper side of the drawing data range, the statistic of the upper outlier is calculated (steps S21, S22), and if there is a lower outlier falling out of the lower side of the drawing data range, the lower side thereof Outlier statistics are calculated (steps S23 and S24).

Thus, the statistics of the upper outliers and the statistics of the lower outliers are calculated as outlier information, and the calculated outlier information is expressed by a predetermined symbol and drawn together with the histogram (step S19). , S20). The drawing of outlier information by a predetermined symbol is performed according to the flow of drawing data generation and drawing processing of outlier information as shown in FIGS. 9 and 10 described above. That is, the object (number of samples, average value, etc.) of the outlier information expressed by the symbol and the fluctuation element (shape, size, etc.) of the symbol are set (steps S31 to S33), and the set expression object and fluctuation Data for drawing outlier information is generated by the element (steps S34 and S41 to S44). The generated drawing data is used, and outlier information is drawn together with the histogram (step S20).

In the third embodiment, for example, a histogram and outlier information as shown in the following FIG. 17 are drawn by the above process.
FIG. 17 is a diagram showing an example of drawing by the display control apparatus according to the third embodiment.

In FIG. 17, the distribution state of the error occurrence probability due to the difference in the test conditions (T 0001, T 0002,...) Is represented by the histogram 400.
The error occurrence probability does not fall below 0 theoretically, so in FIG. 17, the lower limit of the drawing data range and the drawing area 400a is set to 0, while the upper limit of the drawing data range and the drawing area 400a is set to 0.2 ing. In order to facilitate comparison between the histograms 400 for data groups under different conditions (T0001, T0002,...), Their drawing data ranges and the scale of the drawing area 400a are the same. Since the error occurrence probability does not theoretically fall below 0, data exceeding the upper limit 0.2 of the drawing data range is extracted as an outlier from the data group. Then, the sample number and the average value of the extracted outliers are expressed by the width and height of the triangle, respectively, and are drawn side by side in the histogram 400 as the outlier information 410.

In the same manner as described above with reference to FIG. 14, when the outlier information 410 drawn together with the histogram 400 is selected in the display control device 100 by a predetermined operation by the user, the selected outlier is selected. A function of displaying the contents of the outliers included in the information 410 may be provided.

As described above, in the third embodiment, outliers from the specific range (drawing data range) represented by the histogram 400 of the data group are represented by the outlier information 410 that is the statistic. The histogram 400 is drawn with its scale set independently of the outlier distribution. Therefore, it is possible to suppress the occurrence of a situation where it is not possible to read the details of the distribution for the main data part by drawing all the data of the data group with a histogram. Also, information about the distribution of outliers can be read from the outlier information 410 drawn with the histogram 400.

Note that the processing function of the device (for example, the display control device 1, 100) described in each of the above embodiments can be realized by a computer. In that case, a program describing the processing content of the function that each device should have is provided, and the above processing function is realized on the computer by executing the program on the computer. The program in which the processing content is described can be recorded on a computer readable recording medium. Examples of the computer-readable recording medium include a magnetic storage device, an optical disc, a magneto-optical recording medium, a semiconductor memory, and the like. Magnetic storage devices include HDDs, flexible disks, magnetic tapes, and the like. The optical disc includes a CD, a DVD, and the like. Magneto-optical recording media include MO and the like.

In the case of distributing the program, for example, a portable recording medium such as a DVD or a CD-ROM in which the program is recorded is sold. Alternatively, the program may be stored in the storage device of the server computer, and the program may be transferred from the server computer to another computer via a network.

The computer executing the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing in accordance with the program. The computer can also execute processing according to the received program each time the program is transferred from the server computer connected via the network.

The above is merely an example. Furthermore, many modifications and variations are possible to one skilled in the art, and the present invention is not limited to the exact configurations and applications shown and described above, and all corresponding variations and equivalents are attached. It is considered that the scope of the present invention is based on the following claims and their equivalents.

Reference Signs List 1 display control device 1a storage unit 1a1 measured value group 1b calculation unit 2 display device P, Q range Gp, Gq, Gq1, Gq2 figure

Claims (18)

1. On the computer
   Based on the distribution state of a plurality of measurement values, a range to be associated with a first figure representing the distribution state of the first measurement values included in the plurality of measurement values is specified,
   When there is a second measurement value out of the range among the plurality of measurement values, the format of the second measurement value is different from the first pattern when displaying the first pattern. Display in association with the second figure of
   Display control program to execute processing.
2. The first figure is a figure representing a distribution state of the first measurement value using a scale indicating the range.
   The second graphic is a graphic representing a statistic calculated based on the second measurement value.
   The display control program according to claim 1.
3. The second figure is displayed side by side with the first figure in a direction along the scale.
   The display control program according to claim 2.
4. In the display of the second graphic, at least one of the shape, size, orientation, color or pattern of the second graphic is determined based on the statistic.
   The display control program according to claim 2 or 3.
5. When the second figure is selected, the computer is further caused to execute a process of displaying the content of the statistic.
   The display control program according to any one of claims 2 to 4.
6. The first figure is a figure representing a distribution state of the first measurement value using a scale indicating the range.
   The second figure is displayed side by side with the first figure in a direction along the scale;
   The display range of the second figure with respect to the direction is set to be narrower than the display range when the distribution state of the second measured value is expressed using the scale in the same format as the first figure. To be
   The display control program according to claim 1.
7. Identifying the range based on a first quartile and a third quartile of the plurality of measurements;
   The display control program according to any one of claims 1 to 6.
8. In specifying the range, minimum data in a range lower by a predetermined number of times lower than the first quartile range is set as the lower limit value of the range, and the third quartile to the quartile The maximum data in the range which is a predetermined number of times higher than the range is set as the upper limit value of the range,
   The display control program according to claim 7.
9. The first figure shows a box portion indicating positions of a first quartile and a third quartile of the plurality of measured values, and the first quartile of the box portion and the third figure. FIG. 6 is a box and whisker plot represented by a whisker portion extending from the position of quartile to the lower limit value and the upper limit value of the range, respectively;
   The display control program according to any one of claims 1 to 6.
10. The second figure is a third figure representing the distribution of measurement values falling below the range among the second measurement values, and the measurement falling outside the range among the second measurement values Including at least one of a fourth figure representing a distribution of values,
    The display control program according to any one of claims 1 to 9.
11. Identifying the range based on an average value and a standard deviation of the plurality of measurement values;
    The display control program according to any one of claims 1 to 6, 10, characterized in that:
12. Identify other ranges based on the distribution of multiple other measurements,
    Among the plurality of other measurement values, a fifth graphic representing the distribution state of the third measurement value included in the other range in the same format as the first graphic is displayed together with the first graphic. A sixth figure representing the distribution of the fourth measurement value in the same form as the third figure, when there is a fourth measurement value outside the other range among the plurality of other measurement values. , Together with the third figure,
    The display control program according to claim 1, further causing the computer to execute a process.
13. In the display of the first, second, fifth and sixth figures,
    Setting a common scale when displaying the first graphic and the fifth graphic based on the range and the other range;
    Displaying the first figure and the fifth figure side by side using the scale;
    The display control program according to claim 12.
14. In a generator that generates a box and whisker plot according to the distribution of measured values,
    On the computer
    A value exceeding a predetermined multiple of the hinge distribution is displayed as a symbol on the box and whisker plot side relative to the corresponding position on the graph,
    A generator that runs the process.
15. A storage unit that stores a plurality of measured values;
    Based on the distribution of the plurality of measured values, a range corresponding to a first figure representing the distribution of the first measured value included in the plurality of measured values is specified, and the range among the plurality of measured values is identified. When there is a second measured value out of the range, when displaying the first figure, the second measured value is associated with a second figure of a format different from the first figure. Operation unit to be displayed,
    An information processing apparatus having
16. In an information processing apparatus that generates a box and whisker plot according to the distribution of measurement values,
    A storage unit that stores the measured value;
    An operation unit that displays a value exceeding a predetermined multiple of the hinge distribution degree as a symbol on the box and whisker plot side relative to the corresponding position on the graph;
    An information processing apparatus having
17. The computer is
    Based on the distribution state of a plurality of measurement values, a range to be associated with a first figure representing the distribution state of the first measurement values included in the plurality of measurement values is specified,
    When there is a second measurement value out of the range among the plurality of measurement values, the format of the second measurement value is different from the first pattern when displaying the first pattern. Display in association with the second figure of
    Display control method.
18. In the generation method for generating a box and whisker plot according to the distribution of measurement values,
    The computer is
    A value exceeding a predetermined multiple of the hinge distribution is displayed as a symbol on the box and whisker plot side relative to the corresponding position on the graph,
    Generation method.

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