CN110413683A - A kind of data visualization creative method based on big data - Google Patents
A kind of data visualization creative method based on big data Download PDFInfo
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- CN110413683A CN110413683A CN201910746292.6A CN201910746292A CN110413683A CN 110413683 A CN110413683 A CN 110413683A CN 201910746292 A CN201910746292 A CN 201910746292A CN 110413683 A CN110413683 A CN 110413683A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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Abstract
The present invention relates to information technology fields, especially a kind of data visualization creative method based on big data, including pre-treatment step, visual structure generation step, draw rendering step, human-computer interaction step, provide the new way that the analysis of multivariate network information data is carried out using Information Visualization Technology, so that numerous and complicated information analysis task can be by intuitive, image, clearly visualization view and simply and easily man-machine interactive operation is achieved, correlation between overall distribution structure and information content element or the information individual of the comprehensive Information data acquisition system of side information analysis personnel, it is efficient, accurately understand information, it discloses recessive information and establishes technical foundation.
Description
Technical field
The present invention relates to information technology field more particularly to a kind of data visualization creative methods based on big data.
Background technique
Now, government department gradually tends to intelligentize and informatization to the management in city.By big to city operations sign
Data carry out integrated management, and government department improves from the efficiency and quality in city management and urban service.However, existing
City operations sign big data management platform lack the depth mining analysis to big data, big data is usually with indigestion
Mode be directly rendered out, the visualization of data is lower, be also unfavorable for policymaker and understand fast changing big data,
To reduce city management policymaker to the research speed of big data.
Summary of the invention
It is straight usually in a manner of elusive the purpose of the present invention is to solve big data exists in the prior art
It connects and shows, the lower disadvantage of the visualization of data, and a kind of data visualization creation based on big data proposed
Method.
To achieve the goals above, present invention employs following technical solutions:
A kind of data visualization creative method based on big data is designed, is included the following steps:
Multivariate network data, is manually entered in data source, data preprocessing module by S1, data prediction step first
Multivariate node data in data source is read in into whole system, and the classifying type argument in node table is converted into numeric type and is become
Member；
S2, visual structure generation step, visualization structure generation module are laid out two parts by node layout and side and constitute,
Node layout part passes through data acquisition interface and inputs the multivariate node data after same data type, generates and improves star seat
The visualization structure of system is marked, and dimensionality reduction cloth is carried out to multivariate node according to the reference axis configuring condition for improving Star-shaped Coordinate System
Office, establishes the visualization structure of multivariate node, side layout portion is passed through simultaneously based on multivariate node visualization structure
Data acquisition structure reads network data, the visualization structure of component network edge；
S3, rendering step is drawn, improvement star seat will mainly be established by drawing rendering module in visualization structure generation module
Mark system, multivariate node and network edge visualization structure generate visualization view, allow users to more easily cosily distinguish
Recognize different pels and observation understands visualization result；
S4, human-computer interaction step, human-computer interaction interface include interactive operation reception and inquiry operation receiving submodule, master
It is used to show multivariate visualization view, secondly for the interactive operation for receiving user, dynamical feedback is to correlation module, to it
Parameter is adjusted, finally respond user inquiry instruction, according to user provide cajaput condition to multivariate network data into
Row screening, data needed for obtaining user reach the visual purpose of big data.
Preferably, the data preprocessing module includes clustering algorithm library module, drop gesture strategy generator module, data point
Class module and classification numeralization module submodule, node layout part are divided into argument relatedness computation, the configuration of argument axis, section
Point dimensionality reduction is laid out three submodules, and side layout portion is divided between node clustering, cluster between Bian Ronghe, cluster wing and is merged by, cluster inner edge
Submodule.
Preferably, the drafting rendering module includes improving Star-shaped Coordinate System drafting, color coding, shape coding and net
Smooth four modules in network side.
A kind of data visualization creative method based on big data proposed by the present invention, beneficial effect are: by big
Data carry out data prediction step, visual structure generation step, draw rendering step, human-computer interaction step, provide one
The new way of multivariate network information data analysis is carried out using Information Visualization Technology, so that numerous and complicated information analysis is appointed
Business can pass through intuitive, vivid, clearly visualization view and simply and easily man-machine interactive operation is achieved, auxiliary information point
It is mutual between overall distribution structure and information content element or the information individual of the comprehensive Information data acquisition system of analysis personnel
Relationship establishes technical foundation efficiently, accurately to understand information, disclosing recessive information.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of the data visualization creative method based on big data proposed by the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig.1, a kind of data visualization creative method based on big data, includes the following steps:
Multivariate network data, is manually entered in data source, data preprocessing module by S1, data prediction step first
Multivariate node data in data source is read in into whole system, and the classifying type argument in node table is converted into numeric type and is become
Member；
S2, visual structure generation step, visualization structure generation module are laid out two parts by node layout and side and constitute,
Node layout part passes through data acquisition interface and inputs the multivariate node data after same data type, generates and improves star seat
The visualization structure of system is marked, and dimensionality reduction cloth is carried out to multivariate node according to the reference axis configuring condition for improving Star-shaped Coordinate System
Office, establishes the visualization structure of multivariate node, side layout portion is passed through simultaneously based on multivariate node visualization structure
Data acquisition structure reads network data, the visualization structure of component network edge；
S3, rendering step is drawn, improvement star seat will mainly be established by drawing rendering module in visualization structure generation module
Mark system, multivariate node and network edge visualization structure generate visualization view, allow users to more easily cosily distinguish
Recognize different pels and observation understands visualization result；
S4, human-computer interaction step, human-computer interaction interface include interactive operation reception and inquiry operation receiving submodule, master
It is used to show multivariate visualization view, secondly for the interactive operation for receiving user, dynamical feedback is to correlation module, to it
Parameter is adjusted, finally respond user inquiry instruction, according to user provide cajaput condition to multivariate network data into
Row screening, data needed for obtaining user reach the visual purpose of big data.
Data preprocessing module include clustering algorithm library module, drop gesture strategy generator module, data classification module with
And classification numeralization module submodule, node layout part are divided into argument relatedness computation, the configuration of argument axis, node dimensionality reduction layout
Three submodules, side layout portion are divided between node clustering, cluster between Bian Ronghe, cluster wing and merge submodule by, cluster inner edge.
Drawing rendering module includes improving Star-shaped Coordinate System drafting, color coding, shape coding and network edge smooth four
A module, by carrying out data prediction step to big data, visual structure generation step, drawing rendering step, human-computer interaction
Step provides the new way that the analysis of multivariate network information data is carried out using Information Visualization Technology, so that numerous and complicated
Complicated information analysis task can pass through intuitive, vivid, clearly visualization view and simply and easily man-machine interactive operation is given
To realize, the overall distribution structure and information content element or letter of the comprehensive Information data acquisition system of side information analysis personnel
Correlation between breath individual establishes technical foundation efficiently, accurately to understand information, disclosing recessive information.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (3)
1. a kind of data visualization creative method based on big data, which comprises the steps of:
Multivariate network data, is manually entered in data source by S1, data prediction step first, and data preprocessing module will count
Whole system is read according to multivariate node data in source, and the classifying type argument in node table is converted into numeric type argument；
S2, visual structure generation step, visualization structure generation module are laid out two parts by node layout and side and constitute, node
Layout portion inputs the multivariate node data after same data type by data acquisition interface, generates and improves Star-shaped Coordinate System
Visualization structure, and according to improve Star-shaped Coordinate System reference axis configuring condition to multivariate node carry out dimensionality reduction layout, build
The visualization structure of vertical multivariate node, side layout portion pass through data based on multivariate node visualization structure
It obtains structure and reads network data, the visualization structure of component network edge；
S3, draw rendering step, draw rendering module mainly will in visualization structure generation module establish improve Star-shaped Coordinate System,
Multivariate node and network edge visualization structure generate visualization view, allow users to more easily cosily recognize different
Pel and observation understand visualization result；
S4, human-computer interaction step, human-computer interaction interface include interactive operation reception and inquiry operation receiving submodule, main use
In display multivariate visualization view, secondly for the interactive operation for receiving user, dynamical feedback is to correlation module, to its parameter
It is adjusted, finally responds the inquiry instruction of user, multivariate network data is sieved according to the cajaput condition that user provides
Choosing, data needed for obtaining user, reaches the visual purpose of big data.
2. a kind of data visualization creative method based on big data according to claim 1, which is characterized in that the number
Data preprocess module includes clustering algorithm library module, drop gesture strategy generator module, data classification module and classification numerical value
Change module submodule, node layout part is divided into argument relatedness computation, the configuration of argument axis, node dimensionality reduction three submodules of layout
Block, side layout portion are divided between node clustering, cluster between Bian Ronghe, cluster wing and merge submodule by, cluster inner edge.
3. a kind of data visualization creative method based on big data according to claim 1, which is characterized in that described to draw
Rendering module processed includes improving Star-shaped Coordinate System drafting, color coding, shape coding and smooth four modules of network edge.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520021A (en) * | 2018-03-22 | 2018-09-11 | 中国人民解放军济南军区72465部队 | A kind of multivariate network data method for visualizing for repair |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520021A (en) * | 2018-03-22 | 2018-09-11 | 中国人民解放军济南军区72465部队 | A kind of multivariate network data method for visualizing for repair |
Non-Patent Citations (1)
| Title |
|---|
| 孙杨: "多变元网络数据可视化方法研究", 《全国优秀博士论文全文数据库》 * |
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