CN113779187A - Visualization analysis method based on radial tree structure - Google Patents
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- CN113779187A CN113779187A CN202011598530.2A CN202011598530A CN113779187A CN 113779187 A CN113779187 A CN 113779187A CN 202011598530 A CN202011598530 A CN 202011598530A CN 113779187 A CN113779187 A CN 113779187A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/34—Browsing; Visualisation therefor
Abstract
The invention relates to a visualization analysis method based on a radial tree structure, which comprises the following steps: data processing and visualization processing; the data processing comprises the following steps: step 1: calling a document segmentation template for each analyzed document, matching and segmenting a basic document structure by using a regular expression, extracting a triple corresponding to each part by using the regular expression matching, named entity identification and dependency syntax analysis for each part, storing the triple in a txt file and json file mode, and taking a document case number and a criminal name as a file name; step 2: extracting the key parts of each read document and the triples of each part containing the key information by performing regular matching on each obtained triple file; and step 3: the extracted part is stored in the json file again by adopting a tree structure, and when a plurality of documents are analyzed, the key triples of each document are stored in the json file; and 4, step 4: generating a multi-document query json file.
Description
Technical Field
The invention relates to a judicial literature management technology, in particular to a visualization analysis method based on a radial tree structure.
Background
A referee document with complete structure, complete elements and strict logic is a certificate for the right and burden of a party and is also an important basis for the upper-level people court to supervise the civil judgment activities of the lower-level people court. For this reason, the key element of acquiring official documents is an important requirement to assist legal workers. The key elements of the referee document can be divided according to three entity elements of case-related personnel, judicial cases and case-related articles (also referred to as 'people', 'cases' and 'articles'). Because the entity elements and the relationships of the 'human case matters' in the referee document are complex and various, in order to realize the combing of the complex and various relationships between the 'human case matters' of the referee document and enable legal workers to quickly position and analyze the key elements in the referee document, the visual layout can be adopted to clearly display the entity and the relationship between the entity of the 'human case matters' in a mode of converting abstract text logic into an image form which is more favorable for viewing and understanding.
In order to realize the layout, the technology needs to realize the triple feature extraction, the key triple filtering and the triple visualization, and the knowledge graph of the element of the legal document 'human case object' is visualized, so that the data display and the correlation analysis are carried out on the 'human', 'case', 'object' in the document, and the problems of higher important information mining cost, single information presentation mode, higher time and labor cost for understanding and analyzing the information existing in the referee document are solved.
Since a single referee document already contains rich and complex 'human case' elements and association relations, when a plurality of cases need to be combined for analysis and comparison according to search requirements, the analysis and display cost is further increased, and knowledge maps formed by different 'human case' relations in the plurality of documents need to be combined and divided in a reasonable mode, so that key triplets which are representative in each document are filtered out, and simultaneously are similar and equally important in each document, thereby facilitating comparison.
In order to show entity association under the condition of multi-case and multi-document, the technology realizes visual analysis based on a radial tree structure, namely, after extracting triples of each document, filtering out triples with higher analysis value, and combining semantic logic of data to form a tree data structure for analysis and management, so that the semantic logics of the triples on the same tree branch are the same, the semantic logics on the same tree depth level are the same, and the triples are shown through radial tree layout.
The technology adopts a radial tree which is a tree layout algorithm and is suitable for any type of logic schematic diagram. The layout algorithm ranks the logical schematic elements and places them in a radial tree according to specified radius parameters. In this technique, the logical schematic is derived from a tree structure of key triples filtered through data processing. The radial tree layout algorithm can be realized by converting a rectangular coordinate system into a graph coordinate system, after a root intersection point used as a circle center is set, the data structure is correspondingly a tree structure, and subtrees are arranged around an upper circle with the root intersection point as the circle center. The radial tree layout algorithm thus changes from the horizontal level of the conventional tree structure to a circular level around the junction point according to the depth of the leaf nodes of the tree while preserving the structure of the tree.
By referring to relevant documents of large-scale data network visualization such as knowledge graphs and the like, how to solve the problem that graph structures of large-scale data are difficult to read and analyze is a research hotspot, and the main modes can be divided into multi-page division, clustering of nodes or edges of the same kind, constraint on the graph structures and the like. The existing optimized layout mode for carrying out visual analysis on a large-scale graph structure mainly focuses on the fields of processing community relations, e-commerce platforms, movie recommendation and the like, and relatively few researches on the judicial field are carried out. Because a triplet containing 'human scheme object' entities and entity relations can be obtained by analyzing a single referee document of a single case, when the number of case sets and the number of referee documents are increased, how to highlight the key information and uniqueness of each document, and meanwhile, the same or different documents are mined to form comparative analysis, and the comparative analysis is converted into a visual image which is beneficial to viewing and analyzing by law workers becomes a new difficulty.
Disclosure of Invention
The present invention is directed to a visualization analysis method based on a radial tree structure, which is used to solve the above problems of the prior art.
The invention relates to a visualization analysis method based on a radial tree structure, which comprises the following steps: data processing and visualization processing; the data processing comprises the following steps: step 1: calling a document segmentation template for each analyzed document, matching and segmenting a basic document structure by using a regular expression, extracting a triple corresponding to each part by using the regular expression matching, named entity identification and dependency syntax analysis for each part, storing the triple in a txt file and json file mode, and taking a document case number and a criminal name as a file name; step 2: extracting the key parts of each read document and the triples of each part containing the key information by performing regular matching on each obtained triple file; and step 3: the extracted part is stored in the json file again by adopting a tree structure, and when a plurality of documents are analyzed, the key triples of each document are stored in the json file; and 4, step 4: generating a multi-document query json file, setting a query id for the query and using the query id as a data structure stored by a following node; the visualization processing comprises the following steps: and carrying out visualization implementation on the data subjected to data processing by utilizing G2.js in a visualization system with a web front-end visualization implementation function.
According to an embodiment of the visualization analysis method based on the radial tree structure, the basic document structure comprises a document head part, instruction content, debate opinions, evidence confirmation, comprehensive judgment and a document tail part.
According to an embodiment of the visualization analysis method based on the radial tree structure, the visualization processing specifically includes: page setting: setting basic attributes of a web page for visual display in page setting; reading the json file, wherein key triples are extracted in data analysis, and a corresponding json file is formed and is used as visual data input; creating a radial tree layout, creating a radial tree diagram and setting basic attributes of the radial tree diagram; drawing edges of the radial tree, establishing connecting lines for the edges in the radial tree, and setting the edges of the radial tree according to the relation between the styles and the data of the connecting lines; drawing leaf nodes of the radial tree, creating circular nodes for the leaf nodes in the radial tree, and setting the leaf nodes of the radial tree according to the style of the circular nodes and the entity attribute of data; adding an interaction event; and parameters in the radial tree diagram can be adjusted and optimized according to the visualization effect.
According to an embodiment of the visualization analysis method based on the radial tree structure, the creating of the radial tree layout includes: creating a chart by using G2.Chart (), and creating and initializing a defined chart variable by using a function of G2.Chart () as a chart for visual realization; defining a chart label, and setting the size, the boundary, the data type and the display mode related attributes of the chart by defining the related attributes of the chart label; appointing a chart coordinate, appointing a coordinate system of the graph as a polar coordinate system according to the expression mode of the radial tree graph, and setting the type and the display mode of measurement definition data of the polar coordinate.
According to an embodiment of the visualization analysis method based on the radial tree structure, in the present invention, the drawing the edge of the radial tree specifically includes: setting the direction of a connecting line, wherein the connecting line represents the display of the data relation, and appointing the source starting point and the target end point attribute of the edge according to the relation between data; and setting the attribute of the connected line style, wherein the attribute setting of the connected line style comprises the position, the shape, the color, the transparency and the side information of the side.
According to an embodiment of the visualization analysis method based on the radial tree structure, the setting of the attribute of the style of the connection line specifically includes: specifying the position of the edge according to the measurement and data relationship of the coordinate system; designing the shape of the edge; designing the color of the edge; designing the transparency of the edge; side information of the side is designed.
According to an embodiment of the visualization analysis method based on the radial tree structure, the mapping of the leaf nodes of the radial tree includes: setting data attributes of the circular nodes, wherein the nodes represent the data attributes of leaf nodes, and appointing depth, name, child node and value information when the nodes are realized according to the data attributes of the leaf nodes; and setting the style attribute of the circular node, wherein the attribute setting of the style of the circular node comprises the position, the color and the label display information of the circular node.
According to an embodiment of the visualization analysis method based on the radial tree structure, the setting of the style attribute of the circular node includes: specifying the location of the node according to the measurements of the coordinate system; designing the color of the node; and designing labels of the nodes, designing data corresponding to the labels and related display attributes, and displaying character labels of the data corresponding to the nodes.
According to an embodiment of the visualization analysis method based on the radial tree structure, the adding of the interaction event includes: adding a text prompt box for realization; adding a chart to the implementation; increasing the implementation of highlighting; the implementation of node expansion is increased.
The invention realizes the radial graph layout scheme under the general search condition and the radial tree layout adjustment method under the special condition. The data structure of the radial tree layout is a tree structure, and the formed layout effect is a circular layout. In the radial tree layout, the connecting lines among the nodes realize the edge structure of the tree, the relation among data is shown, and the leaf nodes are distributed on a concentric circle taking the root junction point as the circle center, so that the hierarchical relation of the data is embodied. In the visual implementation of the radial tree layout, a user can acquire specific data (criminal names, specific documents, key triple classifications and specific triple contents under the classifications) of documents of the same type under different hierarchical structures layer by layer along the radial direction of a circular layout formed by a radial tree; meanwhile, in order to compare the differences of different documents in the same data structure, a user can confirm specific triple content in the same data structure layer (namely, a circular layer surrounding a root junction point representing a search condition, which is equivalent to a depth layer of a conventional tree structure) according to the node color, and perform cross-case and cross-document data analysis.
Drawings
FIG. 1 is a flow chart of data analysis;
FIG. 2 is a json tree;
FIG. 3 is a data processing flow diagram for performing data analysis and storing data as a json tree structure;
FIG. 4 is a schematic view of a radial tree layout;
FIG. 5 is a flow chart of a radial tree layout visualization implementation.
Detailed Description
In order to make the objects, contents, and advantages of the present invention clearer, the following detailed description of the embodiments of the present invention will be made in conjunction with the accompanying drawings and examples.
The invention provides a visualization analysis method based on a radial tree structure, which comprises a data processing part (extracting triples, filtering, classifying and structuring) and a visualization implementation part (adopting radial tree layout).
The invention mainly designs a visualization system for realizing web front-end visualization based on a data analysis technology and an AntV G2.js technology, which comprises the following steps:
1. data processing section
Data processing mainly utilizes a data analysis technology to extract, filter, classify and structure triples of all documents and generate corresponding json files. The data processing of each document is realized by the following steps:
fig. 1 is a flow chart of data analysis, as shown in fig. 1,
step 1: extraction of triplets of a single document and corresponding document generation. For each document analyzed, a document segmentation template is called, and the following basic document structure is matched and segmented by using a regular expression: the head part of the document, the instruction content, the debate opinions, the evidence confirmation, the comprehensive judgment and the tail part of the document. The method comprises the steps of using regular expression matching, named entity recognition and dependency syntax analysis on each part, extracting triples corresponding to each part, storing the triples in a txt file and json file mode, and using the file case number and the criminal name as file names (such as 'file case number-criminal name-txt', 'file case number-criminal name-json'). the txt text and the json file are stored by adopting a structure of 'triple extracted by a text case number + a criminal name-a text structure-a corresponding part'.
Step 2: and filtering and extracting key triples of each document. And matching the read key parts (the document head, the comprehensive judgment and the document tail) of each document and the triples of which the parts contain the key information by performing regular matching on each obtained triple file. The key triples extracted from each key part are as follows:
table 1 key triplet content
And step 3: the extracted part will be restored in the json file using the tree structure. When multiple documents are analyzed, the key triplets of each document are stored into json files. The json file uses a tree structure, which is as follows:
fig. 2 is a json tree structure, as shown in fig. 2,
and 4, step 4: generating a multi-document query json file. And setting a query id for the query and storing the data structure as a following node. The triples extracted in the step 1 are stored in the detail in the layer 3, and visualization can be realized by using a multi-dimensional linkage-based visualization analysis technology. The key triples extracted later are stored in the key layer 3, and the visualization based on the radial tree structure layout is realized by using the technology.
The data analysis of the data processing part of each document is carried out according to the search condition and is stored as a flow diagram of the whole process of the json tree structure as follows:
fig. 3 is a flow chart of data processing for performing data analysis and storing as a json tree structure, as shown in fig. 3,
2. visualization implementation component
And the visualization implementation part mainly utilizes the G2.js technology to carry out visualization implementation in the visualization system with the web front-end visualization implementation function on the data of which the previous part is preprocessed and analyzed.
The specific steps of the visual implementation of the radial tree layout are as follows:
fig. 4 is a schematic view of a radial tree layout, as shown in fig. 4,
step 1: and setting a page. In the page setting, basic attributes of the web page, such as loaded resources, parsing and rendering modes, need to be set for visual display.
Step 2: json file reading. In the data analysis, key triples are extracted and corresponding json files are formed, and the key triples can be used as visual data input. To control the node density displayed on the page, we can also choose to further simplify json, i.e. reduce layer 3 and below in the original json to the structure and content of the fourth layer below the original layer 3 "key". The fetch () method is used as an interface for acquiring resources, a data source is specified as a hierarchical structure and a layout mode is a tree structure for a diagram, and data acquisition of json files, access and manipulation of HTTP and web request and processing response are realized.
And step 3: a radial tree layout is created. For radial tree layout visualization, it is necessary to create a radial tree diagram and set basic properties of the radial tree diagram.
Step 3.1: chart creation using g2.chart (). Chart () function is used to create and initialize a define chart variable as a chart for a visualization implementation.
Step 3.2: a chart label is defined. And setting the size, the boundary, the data type, the display mode and other related attributes of the chart by defining the related attributes of the chart label.
Step 3.3: the chart coordinates are specified. According to the expression mode of the radial tree diagram, the coordinate system of the graph needs to be designated as a polar coordinate system, and the type and the display mode of measurement definition data of the polar coordinate are set.
And 4, step 4: the edges of the radial tree are drawn. And creating a connecting line for the edge in the radial tree, and setting the edge of the radial tree according to the relation between the style of the connecting line and the data.
Step 4.1: the direction of the connecting line is set. The connecting lines represent the display of the data relationship, so that the attributes of the source starting point, the target ending point and the like of the edge are specified according to the relationship among the data.
Step 4.2: and setting the attribute of the style of the connecting line. The attribute settings of the style of the link include the position, shape, color, transparency, side information, and the like of the side.
Step 4.2.1: the position of the edge is specified according to the metric and data relationships of the coordinate system.
Step 4.2.2: the shape of the design edge, such as "smooth", is beautified.
Step 4.2.3: designing the color of the edges, such as "grey," reduces color pile-up when the edges are dense.
Step 4.2.4: the transparency of the edge is designed to be 0.5, so that the covering effect of the edge on the text label is reduced.
Step 4.2.5: and designing side information for calling mouse events and the like.
And 5: leaf nodes of the radial tree are drawn. And creating circular nodes for leaf nodes in the radial tree, and setting the leaf nodes of the radial tree according to the styles of the circular nodes and the entity attributes of the data.
Step 5.1: and setting the data attribute of the circular node. The node represents the data attribute of the leaf node, so the attributes such as depth, name, child node and value information when the node is implemented are specified according to the data attribute of the leaf node.
Step 5.2: and setting the style attribute of the circular node. The attribute setting of the style of the circle node includes the position, color, label display information, and the like of the circle node.
Step 5.2.1: the position of the node is specified according to the metrics of the coordinate system.
Step 5.2.2: the color of the nodes is designed, such as to be assigned to a color corresponding to the depth of the leaf node, so that the viewer can distinguish and judge the depth of the leaf node based on the color.
Step 5.2.3: and designing a label of the node, designing data corresponding to the label and related display attributes, realizing display of a character label of the data corresponding to the node, and being used for calling mouse events and the like.
Step 6: the interaction event is increased. And the interaction time is prolonged, and user interaction operations such as text prompt boxes, chart scaling, highlight display, node expansion and the like are realized.
Step 6.1: and adding a text prompt box for realization. The design of the tooltip realizes that the mouse displays prompt information (such as edge information of edges and value information of leaf nodes) when moving on the chart.
Step 6.2: add the chart to the implementation. Scaling of the chart was achieved using the view-zoom of G2.
Step 6.3: the implementation of highlighting is increased. And triggering active when the mouse moves into a chart element (such as a leaf node) by using element-active of G2, and realizing highlight display of the leaf node.
Step 6.4: the implementation of node expansion is increased. And adding node events, wherein the events comprise mouse triggering and switch function calling. And the switch function determines the hiding or displaying of the node according to the fact that whether children exist in the leaf node represented by the judgment node.
And 7: and realizing display and checking. The designed diagram is called and exposed using chart render (). And subsequently, parameters in the radial tree diagram can be adjusted and optimized according to the visualization effect.
Fig. 5 is a flowchart of a radial tree layout visualization implementation, as shown in fig. 5,
the invention adopts a radial tree layout algorithm to realize the data analysis and display of multiple files of multiple reasons. In order to realize the technology, a data analysis technology and the G2.js technology of AntV are adopted, and a visualization system for displaying a visualization result through a web front end is designed through a data analysis part and a visualization realization part.
With regard to the data analysis technique, since the official document has a familiar document structure, classification from case and document structure can be realized. Considering the situation of excessive triples in multiple documents, in order to highlight the key information of each document and facilitate comparison of the key information between the documents, the triples need to be extracted through algorithms of regular expression matching, named entity identification and dependency syntax analysis, the extracted triples of each document are filtered, the triples which are general in each case and can display the key information of each document are extracted, and the triples are stored as json files according to tree-shaped data structures which accord with semantic logic and document structures and serve as data sources for subsequent visualization implementation.
For visualization technology, web programming technology and G2.js technology are mainly relied on. The method mainly depends on the method in G2.js to realize the layout algorithm of the radial tree. After reading the json data file obtained by the data analysis technique, the data is assigned to a tree structure in the hierarchy. In order to convert a general tree layout into a radial tree layout, the coordinate system needs to be converted from a rectangular coordinate system to a polar coordinate system, so as to determine the edge and leaf node positions of the radial tree. After basic information setting is performed on the edge and the leaf node, in order to ensure a layout effect, setting with distinction degree needs to be provided for a user, for example, a text label, a leaf color distinguished according to the leaf depth, a text prompt box content and the like are designed. Meanwhile, interaction events are added, and common interaction modes such as a text prompt box, chart scaling, highlight display and node expansion are provided for a user.
The invention realizes the radial graph layout scheme under the general search condition and the radial tree layout adjustment method under the special condition. The data structure of the radial tree layout is a tree structure, and the formed layout effect is a circular layout. In the radial tree layout, the connecting lines among the nodes realize the edge structure of the tree, the relation among data is shown, and the leaf nodes are distributed on a concentric circle taking the root junction point as the circle center, so that the hierarchical relation of the data is embodied. In the visual implementation of the radial tree layout, a user can acquire specific data (criminal names, specific documents, key triple classifications and specific triple contents under the classifications) of documents of the same type under different hierarchical structures layer by layer along the radial direction of a circular layout formed by a radial tree; meanwhile, in order to compare the differences of different documents in the same data structure, a user can confirm specific triple content in the same data structure layer (namely, a circular layer surrounding a root junction point representing a search condition, which is equivalent to a depth layer of a conventional tree structure) according to the node color, and perform cross-case and cross-document data analysis.
The method realizes the visualization of the radial tree layout based on the knowledge graph thought, the tree structure and the radial tree layout; in order to ensure the visualization effect, the radial tree mainly displays the extracted key triples of each document, so that the data entities and entity relations of the 'human scheme objects' are well displayed hierarchically, and the problems that the data entities and entity relations of the 'human scheme objects' are difficult to present and analyze and the data association is complicated when large-scale 'human scheme object' data visualization is realized are solved.
The method focuses on the display of the key information of each document of the multi-case multi-document and the comparative analysis of the key information of the documents of the same type and different types of the cross-case cross-document. Meanwhile, the utilization rate of a display space when the web page is visualized is improved while the information display effect is ensured by a circular layout mode formed by the radial trees.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A visualization analysis method based on a radial tree structure is characterized by comprising the following steps: data processing and visualization processing;
the data processing comprises the following steps:
step 1: calling a document segmentation template for each analyzed document, matching and segmenting a basic document structure by using a regular expression, extracting a triple corresponding to each part by using the regular expression matching, named entity identification and dependency syntax analysis for each part, storing the triple in a txt file and json file mode, and taking a document case number and a criminal name as a file name;
step 2: extracting the key parts of each read document and the triples of each part containing the key information by performing regular matching on each obtained triple file;
and step 3: the extracted part is stored in the json file again by adopting a tree structure, and when a plurality of documents are analyzed, the key triples of each document are stored in the json file;
and 4, step 4: generating a multi-document query json file, setting a query id for the query and using the query id as a data structure stored by a following node;
the visualization processing comprises the following steps:
and carrying out visualization implementation on the data subjected to data processing by utilizing G2.js in a visualization system with a web front-end visualization implementation function.
2. The radial tree structure-based visual analytics method of claim 1, wherein the basic document structure comprises a document header, instructional content, forensic opinions, proof of evidence, general judgment, a document trailer section.
3. The visualization analysis method based on the radial tree structure as set forth in claim 1, wherein the visualization processing specifically includes:
page setting: setting basic attributes of a web page for visual display in page setting;
reading the json file, wherein key triples are extracted in data analysis, and a corresponding json file is formed and is used as visual data input;
creating a radial tree layout, creating a radial tree diagram and setting basic attributes of the radial tree diagram;
drawing edges of the radial tree, establishing connecting lines for the edges in the radial tree, and setting the edges of the radial tree according to the relation between the styles and the data of the connecting lines;
drawing leaf nodes of the radial tree, creating circular nodes for the leaf nodes in the radial tree, and setting the leaf nodes of the radial tree according to the style of the circular nodes and the entity attribute of data;
adding an interaction event;
and parameters in the radial tree diagram can be adjusted and optimized according to the visualization effect.
4. The radial tree structure-based visualization analysis method of claim 1, wherein creating a radial tree layout comprises:
creating a chart by using G2.Chart (), and creating and initializing a defined chart variable by using a function of G2.Chart () as a chart for visual realization;
defining a chart label, and setting the size, the boundary, the data type and the display mode related attributes of the chart by defining the related attributes of the chart label;
appointing a chart coordinate, appointing a coordinate system of the graph as a polar coordinate system according to the expression mode of the radial tree graph, and setting the type and the display mode of measurement definition data of the polar coordinate.
5. The visualization analysis method based on the radial tree structure as set forth in claim 1, wherein the drawing the edge of the radial tree specifically includes:
setting the direction of a connecting line, wherein the connecting line represents the display of the data relation, and appointing the source starting point and the target end point attribute of the edge according to the relation between data;
and setting the attribute of the connected line style, wherein the attribute setting of the connected line style comprises the position, the shape, the color, the transparency and the side information of the side.
6. The visualization analysis method based on the radial tree structure as claimed in claim 1, wherein the setting of the attribute of the style of the connection line specifically includes:
specifying the position of the edge according to the measurement and data relationship of the coordinate system;
designing the shape of the edge; designing the color of the edge; designing the transparency of the edge; side information of the side is designed.
7. The radial tree structure-based visualization analysis method of claim 1, wherein rendering leaf nodes of the radial tree comprises:
setting data attributes of the circular nodes, wherein the nodes represent the data attributes of leaf nodes, and appointing depth, name, child node and value information when the nodes are realized according to the data attributes of the leaf nodes;
and setting the style attribute of the circular node, wherein the attribute setting of the style of the circular node comprises the position, the color and the label display information of the circular node.
8. The visualization analysis method based on the radial tree structure as set forth in claim 7, wherein setting the style property of the circle node comprises:
specifying the location of the node according to the measurements of the coordinate system;
designing the color of the node;
and designing labels of the nodes, designing data corresponding to the labels and related display attributes, and displaying character labels of the data corresponding to the nodes.
9. The radial tree structure-based visualization analysis method of claim 1, wherein adding interaction events comprises:
adding a text prompt box for realization;
adding a chart to the implementation;
increasing the implementation of highlighting;
the implementation of node expansion is increased.
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