KR20150013416A - Apparatus for performing data analysis through data visualization and the method thereof - Google Patents

Abstract

The present invention relates to an apparatus and a method for analyzing data by visualizing the data. More specifically, the present invention relates to an apparatus and a method for analyzing data by visualizing the data, in which a plurality of data are visualized and expressed in the form of one image by using N number of triangles, so that numeral data flows and numeral data trends can be totally, delicately, rapidly and intuitively detected and that a new value can be created through the convergence of various fields such as computer, art, information communication regardless of knowledge fields. In detail, a triangular visualization model is configured by using materials, numeric materials, a weighted value, and colors by category, data is selected, and data visualization is performed by refining data through a filter module and a conversion module.

Description

[0001] APPARATUS FOR PERFORMING DATA ANALYSIS THROUGH DATA VISUALIZATION AND THE METHOD THEREOF [0002]

The present invention relates to an apparatus and method for analyzing data through data visualization, and unlike conventional data visualization methods that show the overall data flow and trend, a plurality of data is visualized as an image using n triangles, And categorical data, which can create new value by fusing the fields of computer, art, information and communication without distinguishing the area of the discipline. We construct a triangle visualization model using numeric data, weight, and color. After selecting the data, the filter module and the visual transform module The present invention relates to an analysis technique and apparatus using data visualization.

Conventional data visualization is a method of representing thousands or tens of millions of data as one image, and means a method of visually finding patterns that can not be found in simple data analysis.

As the data visualization technique is required as described above, Korean Patent Laid-Open Publication No. 10-2011-0092589 (Aug. 18, 2011) proposes a method and apparatus for visualizing and displaying data. A method of visualizing and displaying multidimensional analysis data, the method comprising: inputting or selecting analysis data; extracting classification items by analyzing the analysis data; extracting data items for the classification items; Forming a concentric circle according to the number of the data items, dividing the concentric circle into a first conformal angle according to the number of the classification items, and displaying the first concentric circle Such a data visualization technique is capable of quickly and effectively displaying a large amount of data to a user and is capable of finding visual patterns in a large amount of data more intuitively than other analytical methods, To show the overall trends and trends of And the like.

In addition, the prior art including the above-mentioned prior art should prioritize user's basic knowledge and learning, and can be used as a data visualization technique such as a sunburst, an icicle, a matrix diagram, a space tree, Hypertrees, data circular visualization techniques, and so on. From a 2D visualization technique to a three-dimensional visualization technique, a specific visualization technique can be selected and used according to each data characteristic. However, It is limited to showing the overall flow and trend of data.

The present invention is created to solve the above problems. Unlike the existing data visualization method which shows the overall data flow and trend, the present invention visualizes and displays a large number of data in one image using n triangles, The user can quickly and intuitively grasp the data in detail, and construct a triangular visualization model by using classified data, numerical data, weight, and color, select data and then display the data that can be refined through the filter module and visual conversion module It is an object of the present invention to provide an analysis technique and apparatus through visualization.

An apparatus for analyzing data through data visualization according to an embodiment of the present invention includes a filter module for extracting a classification item for input data to be analyzed; Data item extracting means for extracting a data item indicating a time or an order for the extracted classification item; A view transformation module for forming a single field for all fields according to the number of extracted data items; And an interpreting module for dividing the polygon into at least one or more entire fields formed by the aggregation of the single fields, according to the number of classification items, into n (an integer of 1 or more) equal angle. Further, in the data analyzing apparatus through the data visualization, the data item extracting means may include: a weight transforming module; And a visual transformation module or a color transformation module, wherein the display means further comprises display means for displaying at least one of the n equally divided polygons, the entire field, the single field, or a combination thereof, The visual conversion module classifies the data extracted from the filter module into numerical values and classifies the data into intensity adjustment of an effector applied according to the weight, And the color conversion module classifies the data classified by the weight conversion or classified through the visual conversion into color expressions, respectively, and the view conversion module classifies the color conversion data into color expressions by the visual conversion module or the color conversion module According to the number of classified data, Characterized by selecting one of a screen method.

According to another aspect of the present invention, there is provided a method of analyzing data through data visualization, comprising: filtering a classification item for input data to be analyzed; A data item extracting step of extracting a data item indicating a time or an order with respect to the extracted classification item; A view transform step of forming a single field for all fields according to the number of extracted data items; And an interpreting step of dividing the polygon into at least one or more entire fields formed by the aggregation of the single fields, according to the number of classification items, into n (integers equal to or greater than 1). In the data analysis method using the data visualization, the data item extracting step may include: weight conversion step; And a display step of displaying at least one of a polygon, an entire field, a single field, or a combination thereof divided by the n equi-angles, wherein the weighting conversion step The visual transformation unit classifies the data extracted in the filtering step into numerical values and classifies them into intensity adjustment of an effector applied according to the weights to give relative importance of each data. And rearranges and classifies the data so as to be suitable for visualization, and in the color conversion step, classifies the data classified by the weight transformation or through the visual transformation into color expressions, respectively, and the view transformation step is performed in the visual transformation step or the color transformation step Depending on the number of classified data, a plurality of triangles Characterized by selecting one of the ways keratinocytes.

The present invention is one of data visualization methods, in which a large amount of data is represented as one image by using n triangles, so that a large number of data can be grasped at a glance and the flow and trend of data can be grasped in whole and in detail. Therefore, it is possible to more specifically grasp the data of a specific classification, to quickly analyze the data in detail, and to analyze the entire data intuitively as well as individual items.

1 is a block diagram showing a configuration of an apparatus for data visualization according to an embodiment of the present invention;
FIG. 2 is an exemplary diagram illustrating a random sample of data according to an embodiment of the present invention using a triangle visualization technique. FIG.
FIG. 3 is an exemplary diagram illustrating a triangle visualization algorithm according to an embodiment of the present invention. FIG.
FIG. 4 is a diagram illustrating application and expansion of a triangle visualization technique in various forms according to an embodiment of the present invention; FIG.
FIG. 5 is a flowchart illustrating a data visualization step according to an exemplary embodiment of the present invention. FIG.

The present invention relates to a method of visualizing data by using n triangles to represent a plurality of data in an image, and it is an object of the present invention to provide a data visualization method and a data visualization method, Comparing and forecasting the data in a more accurate and quick manner.

Hereinafter, an apparatus and method for analyzing data through data visualization according to the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a block diagram showing a configuration of a data visualization apparatus according to an embodiment of the present invention. As shown in FIG. 1, multidimensional data is input and selected as analysis data, and the input and selected data are input to a filter module 100, and extracts a classification item. The classification item data is classified into a weight transformation module 200, a visual transformation module 200, Refinement and extraction of the data into a color transform module 300 and a color transform module 400 and selects the extracted data from the view transform module 500 as a triangle visualization method, Executing the selected triangle visualization method in an interpret module (600), and outputting the executed result to a user, The.

The multidimensional data is input as analysis data or selected as corresponding analysis data from a plurality of data lists. The multidimensional data includes data areas of various fields such as computer, art, information communication, and the like, and multimedia contents such as text, image, May also be included. When selecting the multidimensional data in this way, the data area to be visualized first is determined, and new value can be created by selecting and fusing it with the analysis data.

The filter module 100 extracts classification items by analyzing input and selected multi-dimensional data. The filter module 100 adjusts and normalizes the display of the numerical values within a predetermined range. At this time, a data range for the classification item can be set, and the data range can include a minimum value to a maximum value.

In the present invention, a time series item is a data item indicating time or order, and a classification item is defined as a data item to be visually displayed according to a data item indicating the time or order.

The weight transformation module 200 normalizes the data extracted from the filter module 100 into numerical values and classifies the extracted data into intensity adjustment of an effector applied according to the weight to give relative importance of each data.

In the visual conversion module 300, the data is rearranged and classified so as to be suitable for visualizing each data classified by the weight conversion module 200, and the color conversion module 400 classifies the classified data by the weight conversion or visual conversion Are classified into color expressions.

In the view conversion module 500, the data classified by the visual conversion module 300 and the color conversion module 400 are selected by a suitable triangle visualization method according to the number of data. In this case, the existing triangle visualization method is transformed into various forms So that the user can select the appropriate triangle visualization method in the view transformation module 500.

In the interpretation module 600, the triangle visualization method selected by the view transformation module 500 is sequentially analyzed and executed. The results of the analysis are executed in various terminals including a mobile phone, a smart phone, a PDA, a notebook PC, To the user through the network.

We construct a triangle visualization model using categorical data, numeric data, weight, and color. After selecting the data, we refine and classify each data through filter and visual transformation module. Can be grasped in detail.

For example, the classified data means data having no size and discontinuity such as Korean, English, and mathematical data, and numerical data means numerical data composed of numerals such as 1, 2, 3, 4, and the weights are different from each other The color of the triangle visualization technique can be used by mixing the colors to minimize the cognitive interference effect of the user by using the color appropriately and to increase the intuition power.

FIG. 2 is a diagram illustrating an exemplary triangulation visualization method according to an exemplary embodiment of the present invention. Referring to FIG.

As shown in FIG. 2, the data extracted from each classification item in the Korean language and 85 points in the Korean language are data items indicating the order of the correct answer item, the wrong answer item, and the first, second, .

First, the items that selected the correct answer among the Korean language items were 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 15, .

The answers to questions 7 and 11 are classified into Level 1, which means difficulty level. Items 1, 3, 5, 9, and 15 are classified into Level 2, Items 6, 8, and 10 are classified and classified into three levels of difficulty.

In addition, the items 12, 13, and 14 corresponding to the incorrect answers are classified and extracted as a first-level item indicating the difficulty level. Thus, as illustrated in FIG. 2, .

As shown in FIG. 2, three patterns or colors (A, B, and C) are indicated according to the grade of the Korean language item, and Korean incorrect answers are displayed together with a bold line and a pattern or color (D) Respectively.

It is possible to set a color corresponding to a divided area including data of each classification item of each data item, and to display different colors for each classification item using the same color or pattern (door, pattern, pattern, etc.).

By visualizing data on Korean subjects in this way, it is possible to grasp not only the data characteristics of the entire Korean language subject, but also the detailed visualization of the details, so that the user can intuitively understand the characteristics of the entire data and individual data .

FIG. 3 is an exemplary diagram of a triangle visualization algorithm according to an embodiment of the present invention. The triangle visualization method is described in more detail.

First, FIG. 3A shows numerical data with numerical values such as scores and scores, wherein a single field 700 representing the numerical data inside the triangle increases in a formula of 2n-1 about a vertex v, n is a natural number of 1 or more, and the total field 710 represents the sum of the number of the single fields 700, and the total number is? (2n-1).

3b is a graphical representation of classifying data such as Korean, English, and mathematics. When the total number of classifications is n, the classification data that is visually represented is θ _n (720), and one data θ _n (720) °), that is, an isosceles triangle having an internal angle of 360 ° / n from the center point of the n-type, and exceptionally, when there are two pieces of data classified, it can be a right triangle as shown in FIG.

FIG. 3C shows the overall rating W (740) and the individual rating C (730) for one item, each weighted according to the importance of the individual data and displayed as 1, 2, . If the rating is n, the colors and patterns that are visually displayed are indicated by the colors and patterns corresponding to the n-th grade area. In this case, the weight of the color and the pattern is divided into n equal parts of the RGB color table color coat of each primary color value, that is, the values of 1 to 255 using the three primary colors according to the user's discretion, Pattern or the like). That is, it is possible to generate a larger number of distinct patterns through the combination of the hues and patterns, allocate RGB colors of 8 bits or more, and use other color tables such as YUV.

Figure 3d shows the order of the individual items as the most basic form of the triangle visualization technique. The number of each item is displayed from the vertex V based on the left hypotenuse. As the item progresses from left to right, it is possible to more easily and quickly find out a specific item and grasp the state.

FIG. 3E shows the triangle data visualization technique of FIG. 3A, FIG. 3B, FIG. 3C, and FIG. 3D as one integrated color algorithm. FIG. 3E is a basic form of the triangle data visualization technique according to the present invention. 3E can be extended and applied.

Based on the description of the triangular data visualization algorithm shown in FIG. 3, FIG. 2 is an actual visualization using the sample data. It can be seen that the Korean score made up of the 15 items of the object is A grade, that is, There is a lot of wrong answers in the first grade, so you can see that you can not solve the difficulty problem.

In this way, it is possible to grasp specific classification data more precisely, to analyze quickly by detailed expression, and to intuitively analyze whole data as well as individual items.

FIG. 4 is an exemplary diagram illustrating application and extension of the triangle visualization technique according to an embodiment of the present invention in various forms. Specifically, FIG. 3e is an application and an extension of FIG. 3e, Of course.

FIG. 4A shows that the number of classification is expanded to 1, 2, 3, and 5, respectively. When a user clicks or double-clicks 1, 2, 3, or 5 triangles displayed on the screen of the terminal, Each triangle can be individually displayed and viewed.

FIG. 4B shows an example in which one classification is extended to a right triangle shape, in which the numerical data is displayed in left order and can be sequentially viewed, and the total number of fields can be represented by? N.

FIG. 4c shows a single-layer stable representation by transforming a single field representing the numerical data into a triangle.

FIG. 4D is a representation of five triangles as triangles and colors. In addition, the triangulation visualization technique can be applied variously according to the purpose of visualization and data characteristics based on FIG. 3E.

FIG. 5 is a flowchart illustrating a data visualization step according to an exemplary embodiment of the present invention. In FIG. 5, a visualization apparatus visualizes and displays multidimensional analysis data by selecting data to be analyzed (S100) (S200) of extracting classification items through a filter module, extracting data items indicating the time or order of each classification item through a weight conversion module, a visual conversion module, and a color conversion module for the extracted classification item data (S300), forming a single field for the entire field according to the number of data items indicating the time or order through the view conversion module (S400), displaying the polygon (Equal to the number of classification items) according to the number of classification items (S 500) and displaying the polygons divided by the n equi-angles (S600).

The present invention relates to a data visualization method, in which a large amount of data is represented as an image using n triangles, thereby grasping a large number of data at a glance to grasp the flow of data and trends as a whole, It can be analyzed quickly by detailed expression, and it is possible to intuitively analyze whole data as well as individual items.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. .

100: filter module 200: weight conversion module
300: visual conversion module 400: color conversion module
500: view conversion module 600: interpreter module
700: single field 710: full field
730: Individual rating 740: Overall rating

Claims (10)

A filter module for extracting a classification item for input data to be analyzed;
Data item extracting means for extracting a data item indicating a time or an order for the extracted classification item;
A view transformation module for forming a single field for all fields according to the number of extracted data items; And
And an interpreting module for dividing the polygon into at least one or more entire fields formed by the aggregation of the single fields into n (equal to or greater than 1) equal angle according to the number of classification items,
Wherein the single field represents numerical data within a polygon in a polygonal visualization, and the entire field is formed by a collection of the single fields. The method according to claim 1,
Wherein the data item extracting means
A weight transformation module for normalizing the data extracted from the filter module by numerical values and classifying the data into intensity adjustment of an effector applied according to a weight to give relative importance of each data; And
A visual conversion module for rearranging and classifying data so as to be suitable for visualizing each data classified by the weight conversion module or a color conversion module for classifying data classified by the weight conversion module or classified through a visual conversion module into color representations; Further comprising a data visualization unit for visualizing the data. The method according to claim 1,
Further comprising display means for displaying at least one of the n equi-angularly divided polygons, all fields, a single field, or a combination thereof. The method of claim 2,
The visual conversion module rearranges and classifies data so as to be suitable for visualizing each data classified by the weight conversion module, and the color conversion module classifies the data classified by the weight conversion or visual conversion into color expressions Wherein the data visualization is performed by the data analyzing apparatus. The method according to claim 1,
The view conversion module may include a visual conversion module for rearranging and classifying data so as to be suitable for visualizing each data classified by the weight conversion module, or data classified by the weight conversion module or classified through a visual conversion module, Wherein one of the plurality of triangle visualization methods is selected according to the number of data classified in the color conversion module. A filtering step of extracting a classification item for input data to be analyzed;
A data item extracting step of extracting a data item indicating a time or an order with respect to the extracted classification item;
A view transform step of forming a single field for all fields according to the number of extracted data items; And
And an interpreting step of dividing the polygon into at least one or more entire fields formed by the aggregation of the single fields, according to the number of classification items, into n (integers of 1 or more)
Wherein the single field represents numerical data within a polygon in a polygonal visualization and the entire field is formed by a collection of the single fields. The method of claim 6,
The data item extracting step includes:
A weight transformation step of normalizing the data extracted in the filtering step to numerical values and classifying the data into intensity adjustment of an effector applied according to a weight to give relative importance of each data; And
A color conversion step of classifying the data classified by the weight conversion step or the data classified through the visual conversion step into color expressions, respectively, in a visual conversion step of rearranging and classifying data so as to be suitable for visualizing each data classified in the weight conversion step; Further comprising the steps of: < Desc / Clms Page number 13 > The method of claim 6,
Further comprising the step of displaying at least one of the n equally divided polygons, the entire field, the single field, or a combination thereof. The method of claim 7,
The visual transformation step rearranges and classifies the data so as to be suitable for visualizing each data classified in the weight transformation step, and classifies the data classified by the weight transformation or visual transformation into color representation in the color transformation step Wherein the method comprises: The method of claim 6,
The view transformation step may include a visual transformation step of rearranging and classifying data so as to be suitable for visualizing each data classified in the weight transformation step or a step of classifying data classified by the weight transformation step or classified through the visual transformation step into color expressions And selecting one of a plurality of triangle visualization methods according to the number of data classified in the color conversion step.

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