CN105183745A - Method based on data visualization analysis - Google Patents
Method based on data visualization analysis Download PDFInfo
- Publication number
- CN105183745A CN105183745A CN201510387926.5A CN201510387926A CN105183745A CN 105183745 A CN105183745 A CN 105183745A CN 201510387926 A CN201510387926 A CN 201510387926A CN 105183745 A CN105183745 A CN 105183745A
- Authority
- CN
- China
- Prior art keywords
- data
- relation
- data visualization
- method based
- graph structure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
The invention discloses a method based on data visualization analysis. The method comprises the following steps: firstly, carrying out relativization or eventalization on structured table data on a plane; then, through the data subjected to the relativization or the eventalization, generating a corresponding graph structure; and finally, showing the generated graph structure as a visual graph. The method provided by the invention is simple and convenient in relativization or eventalization and can have valuable information quickly and accurately extracted from mass data, and a generated layout is rich and attractive.
Description
Technical field
The present invention relates to data analysis technique field, be specifically related to for non-structure or the visualization analysis technique having structured data.
Background technology
Data visualization is the research of the Visual exhibition form of stage design about data; Wherein, the Visual exhibition form of stage design of this data is defined as a kind of information extracted with certain general manner, comprises each attribute and the variable of corresponding information unit.
The basic thought of data visualization technique is as single pel element representation using each data item in database, a large amount of data set composition data images, each property value of data is represented with the form of multidimensional data simultaneously, from different dimension observed data, thus more deep observation and analysis can be carried out to data.
Data visualization is mainly intended to by means of graphical means, clear reception and registration and communicate information effectively.But this does not just mean, data visualization just necessarily makes us feeling dry as dust because realizing its function and usage, or seems extreme complicated to look bright and colourful.In order to effectively pass on thought concept, aesthetic form and function need to advance side by side, and by passing on crucial aspect and feature intuitively, thus realize deeply seeing clearly for quite sparse and complicated data set.But designer often can not hold the balance between design and function well, thus creates data visualization form gaudy, cannot reach its fundamental purpose, namely pass on and communicate information.
Data visualization and information graphic, information visualization, scientific visualization and statistical graph closely related.Current, at research, teaching and development field, data visualization is a very active and crucial aspect." data visualization " this term achieves ripe scientific visualization field and the unification in younger information visualization field.
Due to the valuable information that is richly stored with in the data of magnanimity, from mass data, how to extract valuable information need the problem that will solve badly concerning data analyst.But complicated operation, inefficiency when carrying out data analysis in existing data analysis technique, and the accuracy rate obtaining crucial valuable information is not high yet.
Summary of the invention
For the problem existing for available data analytical technology, the object of the present invention is to provide a kind of data analysing method that can extract valuable information fast and accurately from mass data.
In order to achieve the above object, the present invention adopts following technical scheme:
Based on a method for data visualization fractional analysis, first plane is had the table data relationship or evented of structure by described method, then by relativization or evented after the corresponding graph structure of data genaration; Finally the graph structure of generation is presented as figure intuitively.
In the preferred embodiment of this method, described method specifically comprises the steps:
(1) also automatically corresponding table is generated in the data importing will analyzed to system database;
(2) generate guide by relation and object and relational model are set, and select pattern exhibition mode;
(3) data extracted from table by the relational model set, the pattern exhibition mode according to selecting represents;
(4) the figure layout of generation is become dissimilar layout, thus show figure attractive in appearance.
Further, in described step (3), generate guide by relation and add data corresponding in table to layer according to the object arranged, again according to the relationship module arranged, set up the relation between them, and according to the pattern exhibition mode selected, the pass of foundation is tied up in layer and generate corresponding graph structure.
Further, pattern exhibition mode comprises graph of a relation or subject line figure.
Compared with prior art, method relativization provided by the invention or evented simple and convenient, the layout of generation is enriched attractive in appearance, and can extract valuable information fast and accurately from mass data.
Accompanying drawing explanation
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
Fig. 1 is the QQ friend relation schematic diagram of spherical distribution in example of the present invention.
Embodiment
The technological means realized to make the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with concrete diagram, setting forth the present invention further.
This example realize based on data visualization analytical plan time, first plane is had the table data relationship or evented of structure, then by relativization or evented after the corresponding graph structure of data genaration; Finally the graph structure of generation is presented as figure intuitively.
On the basis of this principle scheme, the implementation process of this example comprises the steps:
(1) structureless data are imported to data center by importing plug-in unit or script, or go to connect remote data base by the mode of long-range connection, obtain the data of list structure.
The importing data technique based on importing plug-in unit or script is utilized, directly by the data importing data center in file in this step.
(2) automatically generate relevant table for the data importing database will analyzed in step (1), generate guide by relation and corresponding object and relational model are set, and select pattern exhibition mode.
Relation in this step generates guide for adding various object to layer, and sets up the relation between them, and selects different ways of presentation, as graph of a relation or subject line figure.
When corresponding object and relational model being set by relation generation guide in this step, by relation generate guide arrange object row and object relationship arrange (be specially two fields that will analyze be set to two objects respectively and name, then the direction of two objects is set), and configure other attribute column.
(3) data extracted from table by the relational model set, the pattern exhibition mode according to selecting represents.
When this step realizes, generate guide by relation and add data corresponding in table to layer according to the object arranged, then according to the relationship module arranged, set up the relation between them, and according to the pattern exhibition mode selected, the pass of foundation is tied up in layer and generate corresponding graph structure.
(4) use different layout types, layout is carried out to the graph structure generated and generates beautiful figure attractive in appearance, show.
Concrete, by corresponding layout system or functional module, select the type of layout as required, comprising: circular layout, ball-type layout, tree topology, radial tree topology etc., and carry out graph structure layout accordingly.
(5) can filter again the layout generated, search for, get rid of the operations such as leaf node, filter out key relationship and object, thus obtain the information wanted.
Below for common instant communication software QQ, further illustrate process and the effect of data visualization fractional analysis.
1. import QQ data to table
Script is imported, by the data importing of QQ friend relation to table by QQ.
2. configure QQ friend relation
Generate guide by relation, configure the relation between object row and object, configured rear generation QQ friend relation figure.
3. arranging QQ friend relation figure layout is the layout that global configuration obtains as shown in Figure 1.
4. can obtain key relationship and object by operations such as relation filtered search.
More than show and describe ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection domain is defined by appending claims and equivalent thereof.
Claims (4)
1. based on a method for data visualization fractional analysis, it is characterized in that, first plane is had the table data relationship or evented of structure by described method, then by relativization or evented after the corresponding graph structure of data genaration; Finally the graph structure of generation is presented as figure intuitively.
2. a kind of method based on data visualization fractional analysis according to claim 1, it is characterized in that, described method specifically comprises the steps:
(1) also automatically corresponding table is generated in the data importing will analyzed to system database;
(2) generate guide by relation and object and relational model are set, and select pattern exhibition mode;
(3) data extracted from table by the relational model set, the pattern exhibition mode according to selecting represents;
(4) the figure layout of generation is become dissimilar layout, thus show figure attractive in appearance.
3. a kind of method based on data visualization fractional analysis according to claim 2, it is characterized in that, in described step (3), generate guide by relation and add data corresponding in table to layer according to the object arranged, again according to the relationship module arranged, set up the relation between them, and according to the pattern exhibition mode selected, the pass of foundation is tied up in layer and generate corresponding graph structure.
4. a kind of method based on data visualization fractional analysis according to Claims 2 or 3, is characterized in that, pattern exhibition mode comprises graph of a relation or subject line figure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510387926.5A CN105183745A (en) | 2015-07-02 | 2015-07-02 | Method based on data visualization analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510387926.5A CN105183745A (en) | 2015-07-02 | 2015-07-02 | Method based on data visualization analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105183745A true CN105183745A (en) | 2015-12-23 |
Family
ID=54905829
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510387926.5A Pending CN105183745A (en) | 2015-07-02 | 2015-07-02 | Method based on data visualization analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105183745A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550373A (en) * | 2016-01-29 | 2016-05-04 | 浪潮软件集团有限公司 | Method, device and system for displaying data |
| CN107679048A (en) * | 2016-08-02 | 2018-02-09 | 博元森禾信息科技（北京）有限公司 | A kind of general data visualization view generation method and device |
| CN108038246A (en) * | 2017-12-28 | 2018-05-15 | 重庆南华中天信息技术有限公司 | For generating the method and device of visualization view |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100332312A1 (en) * | 2009-06-30 | 2010-12-30 | Theresa Klinger | System and method for analyzing endorsement networks |
| CN102609507A (en) * | 2012-02-03 | 2012-07-25 | 浙江工业大学 | Data visualization system based on Web |
| CN103106188A (en) * | 2013-02-21 | 2013-05-15 | 用友软件股份有限公司 | Imaging analysis system and imaging analysis method of data model |
| CN104102734A (en) * | 2014-07-28 | 2014-10-15 | 中国科学院深圳先进技术研究院 | Data display method and system |
-
2015
- 2015-07-02 CN CN201510387926.5A patent/CN105183745A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100332312A1 (en) * | 2009-06-30 | 2010-12-30 | Theresa Klinger | System and method for analyzing endorsement networks |
| CN102609507A (en) * | 2012-02-03 | 2012-07-25 | 浙江工业大学 | Data visualization system based on Web |
| CN103106188A (en) * | 2013-02-21 | 2013-05-15 | 用友软件股份有限公司 | Imaging analysis system and imaging analysis method of data model |
| CN104102734A (en) * | 2014-07-28 | 2014-10-15 | 中国科学院深圳先进技术研究院 | Data display method and system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550373A (en) * | 2016-01-29 | 2016-05-04 | 浪潮软件集团有限公司 | Method, device and system for displaying data |
| CN107679048A (en) * | 2016-08-02 | 2018-02-09 | 博元森禾信息科技（北京）有限公司 | A kind of general data visualization view generation method and device |
| CN108038246A (en) * | 2017-12-28 | 2018-05-15 | 重庆南华中天信息技术有限公司 | For generating the method and device of visualization view |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103106188B (en) | The graphical analytic system of data model and graphical analytical approach | |
| CN104572125B (en) | Method for drafting, storage method, drawing apparatus and the storage device of entity relationship diagram | |
| CN106373191A (en) | Railway field investigation system based on 3DGIS and investigation method | |
| US9575950B2 (en) | Systems and methods for managing spreadsheet models | |
| WO2015087308A3 (en) | Method and system for comparing 3d models | |
| CN105426502A (en) | Social network based person information search and relational network drawing method | |
| CN103413002A (en) | Topological graph editing method and topological graph editor | |
| CN104866567A (en) | Method and apparatus for presenting business data | |
| CN105512265A (en) | Method and device for displaying data through figure | |
| JP7264989B2 (en) | Visualization method, device and recording medium for multi-source earth observation image processing | |
| CN107562861A (en) | A kind of WebGIS 3D modelling systems based on WebGL | |
| CN105183745A (en) | Method based on data visualization analysis | |
| Wu et al. | Movemine 2.0: Mining object relationships from movement data | |
| CN107315842A (en) | A kind of unstructured data collection method for visualizing based on clustering | |
| CN112256790A (en) | WebGL-based three-dimensional visualization display system and data visualization method | |
| CN104462361A (en) | Method and device for matching data in data table | |
| CN104331496A (en) | Photo sharing method and device | |
| CN109241510A (en) | A kind of autochart generation system and its implementation based on wechat small routine | |
| CN103034681A (en) | Report generation device and report generation method | |
| CN104850623B (en) | Multi-dimensional data analysis model dynamic expansion method and system | |
| Li et al. | Cartograms showing China's population and wealth distribution | |
| CN105740365B (en) | A kind of data warehouse method for quickly querying and device | |
| CN103605806A (en) | Implementation method for configurable structural data organization mode | |
| CN103020279A (en) | Information presentation method and device | |
| CN105912723A (en) | Storage method of custom field |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20151223 |