CN104657475A - Method and system for data analysis - Google Patents
Method and system for data analysis Download PDFInfo
- Publication number
- CN104657475A CN104657475A CN201510083685.5A CN201510083685A CN104657475A CN 104657475 A CN104657475 A CN 104657475A CN 201510083685 A CN201510083685 A CN 201510083685A CN 104657475 A CN104657475 A CN 104657475A
- Authority
- CN
- China
- Prior art keywords
- analysis
- module
- data
- business datum
- analytical approach
- 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
Abstract
The invention provides a method and a system for data analysis. The method comprises the steps of confirming an analysis demand; establishing a physical model according to the confirmed analysis demand; establishing a logic model according to the established physical model; dynamically establishing an analysis method according to the established logic model; analyzing data and displaying an analysis result according to the analysis method. According to the technical scheme provided by the present invention, centralization of functions such as data analysis and presentation can be realized by dynamically establishing the analysis method, thus the complexity of data analysis is reduced and the repetitive work is reduced.
Description
Technical field
The present invention relates to the communications field, specifically, relate to the method and system of data analysis.
Background technology
When carrying out data analysis, often in the face of the situation of a class service needed various analysis, but current solution is all employing one class business makes multiple forms to meet multiple analysis demand, thus causes the raising of complexity and bring more repeated work.
Summary of the invention
For effectively solving the problems of the technologies described above, the invention provides a kind of method and system of data analysis.
On the one hand, embodiments of the present invention provide a kind of method of data analysis, and described method comprises:
Confirmation analysis demand;
Analysis demand according to described confirmation builds physical model;
According to the physical model construction logic model of described structure;
According to the logical model dynamic construction analytical approach of described structure;
According to described analytical data and display analysis result.
On the other hand, embodiments of the present invention additionally provide a kind of system of data analysis, and described system comprises:
Confirm module, for confirmation analysis demand;
Physical modeling module, builds physical model for the analysis demand confirmed according to described confirmation module;
Logic modeling module, for the physical model construction logic model constructed by described physical modeling module;
Analytical approach dynamic construction module, for the logical model dynamic construction analytical approach constructed by described logic modeling module;
Analyze and display module, for the analytical data constructed by described analytical approach dynamic construction module and display analysis result.
The method and system implementing data analysis provided by the invention can realize the centralization of the function such as data analysis and displaying by dynamic construction analytical approach, thus reduce the complexity of data analysis, reduce repeated work.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for a kind of data analysis according to embodiment of the present invention;
Fig. 2 shows a kind of embodiment of the treatment S 140 shown in Fig. 1;
Fig. 3 is the structural representation of the system of a kind of data analysis according to embodiment of the present invention;
Fig. 4 shows a kind of embodiment of the analytical approach dynamic construction module 140 shown in Fig. 3;
Fig. 5 is the frame diagram of the dynamic statement according to embodiment of the present invention.
Embodiment
For making the object of embodiments of the invention, technical scheme and advantage clearly, below in conjunction with accompanying drawing, the present invention is described in detail.
Fig. 1 is the process flow diagram of the method for a kind of data analysis according to embodiment of the present invention.See Fig. 1, described method comprises:
S110: confirmation analysis demand.
S120: the analysis demand according to described confirmation builds physical model.
S130: according to the physical model construction logic model of described structure.
S140: according to the logical model dynamic construction analytical approach of described structure.
S150: according to described analytical data and display analysis result.
By above-mentioned embodiment, the centralization of the function such as data analysis and displaying can be realized by dynamic construction analytical approach, thus reduce the complexity of data analysis, reduce repeated work.Certainly, the various details of above-mentioned embodiment under the prerequisite of ultimate principle not departing from above-mentioned embodiment, can be carried out reasonable change by those skilled in the art, such as, treatment S 140 and treatment S 150 can be merged.
Wherein, as shown in Figure 2, described treatment S 140 can include, but are not limited to:
S141: the logical model of described structure is classified according to business datum.
Wherein, in embodiments of the present invention, described business datum comprises, but is not limited to: dimension and index.
S142: choose the business datum for creation analysis method.
S143: according to the described business datum chosen, creation analysis method.
And, in the respective embodiments described above, depth data analysis operation can also be carried out to the data of display, particularly, described depth data analysis operation comprises: lower brill, upper volume, rotate, section, stripping and slicing etc., wherein, lower brill is by declining in dimension rank or carrying out finer observed data by introducing certain or some dimensions, upper volume performs aggregation operator in data cube, by rising in dimension rank or observing by eliminating certain or some dimensions the data more summarized, section is the selection operation that a dimension in given data cube is carried out, consequently obtain a two-dimentional panel data, stripping and slicing is the selection operation carried out in two or more dimensions of given data cube, consequently obtain a sub-cube, rotate the direction that (rotating shaft) refers to change dimension.
Fig. 3 is the structural representation of the system of a kind of data analysis according to embodiment of the present invention.See Fig. 3, this system 100 comprises: confirm module 110, physical modeling module 120, logic modeling module 130, analytical approach dynamic construction module 140 and analyze and display module 150.
Confirm module 110, for confirmation analysis demand;
Physical modeling module 120, builds physical model for the analysis demand confirmed according to described confirmation module 110;
Logic modeling module 130, for the physical model construction logic model constructed by described physical modeling module 120;
Analytical approach dynamic construction module 140, for the logical model dynamic construction analytical approach constructed by described logic modeling module 130;
Analyze and display module 150, for the analytical data constructed by described analytical approach dynamic construction module 140 and display analysis result.
Certainly, can under the prerequisite of ultimate principle not departing from above-mentioned embodiment for those skilled in the art, the various details of above-mentioned embodiment can be carried out reasonable change, such as can by analytical approach dynamic construction module 140 and analyze and display module 150 merge.
As shown in Figure 4, described analytical approach dynamic construction module 140 can comprise: taxon 141, alternative unit 142, analytical approach construction unit 143.
Taxon 141, for classifying the logical model of described structure according to business datum.
Wherein, in embodiments of the present invention, described business datum comprises, but is not limited to: dimension and index.
Alternative unit 142, for choosing the business datum for creation analysis method.
Analytical approach construction unit 143, for the business datum selected by described alternative unit 142, creation analysis method.
And, in the respective embodiments described above, described system 100 can also comprise depth analysis module, for carrying out depth data analysis operation to the data of described display, particularly, described depth data analysis operation comprises: lower brill, upper volume, rotation, section, stripping and slicing etc.
Below in conjunction with object lesson, embodiments of the present invention are specifically described.In embodiments of the present invention, first confirmation analysis demand, then physical model is built according to analysis demand, namely data (comprising structure data warehouse/fairground etc.) are prepared, again according to the physical model construction logic model (for concrete business creation analysis tupe file) built, finally according to logical model dynamic construction analytical approach (the i.e. systematic analysis built, it is a kind of research general plan, it can be in case of doubt, the essence of problem identificatioin and cause, clearly seek advice from target, find out various feasible program, and by certain standard, these schemes are compared, aid decision making person makes right choice in the problem and environment of complexity) and (comprise exhibition method according to these analytical data and display analysis result and show content etc., exhibition method comprises: tables of data, contrast, figure exhibition method and the chart linked manner etc. such as accounting), in addition the data for described display can carry out depth data analysis operation, wherein said depth data analysis operation comprises: data filtering, lower brill, upper volume, rotate, section, stripping and slicing etc.
In embodiments of the present invention, realize dynamic construction analytical approach based on dynamic statement and according to described analytical, display data, as shown in Figure 5, the form that described dynamic statement is different from the past, it comprises: dimension index candidate area (being equivalent to above-mentioned alternative unit), analytical approach build district's (being equivalent in above-mentioned analytical approach construction unit for receiving the subelement of the analytical approach that business datum and issue are constructed) and data display district (being equivalent to above-mentioned analysis and display module).Particularly, by the logical model of structure according to the dimension index candidate area of business datum (comprising: dimension and index etc.) sorting placement to described dynamic statement, and choose the business datum for building sorting technique by described dimension index candidate area, the business datum chosen can be moved to analytical approach by the mode pulled and build district, according to described business datum creation analysis method, and build by described analytical approach the analytical approach that district issues described structure; Data display district according to the analytical data of described structure and display analysis result, and can data display district carry out lower brill, on volume, rotate, section, stripping and slicing even depth data analysis operation.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can all be implemented by software, also can realize by the mode of software combined with hardware platform, can certainly all be implemented by hardware.Based on such understanding, what technical scheme of the present invention contributed to background technology can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, smart mobile phone or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
The term used in instructions of the present invention and wording, just to illustrating, are not meaned and are formed restriction.It will be appreciated by those skilled in the art that under the prerequisite of the ultimate principle not departing from disclosed embodiment, can various change be carried out to each details in above-mentioned embodiment.Therefore, scope of the present invention is only determined by claim, and in the claims, except as otherwise noted, all terms should be understood by the most wide in range rational meaning.
Claims (10)
1. a method for data analysis, is characterized in that, described method comprises:
Confirmation analysis demand;
Analysis demand according to described confirmation builds physical model;
According to the physical model construction logic model of described structure;
According to the logical model dynamic construction analytical approach of described structure;
According to described analytical data and display analysis result.
2. the method for claim 1, is characterized in that, the logical model dynamic construction analytical approach according to described structure comprises:
The logical model of described structure is classified according to business datum;
Choose the business datum for creation analysis method;
According to the described business datum chosen, creation analysis method.
3. method as claimed in claim 2, it is characterized in that, described business datum comprises: dimension and index.
4. as the method in claims 1 to 3 as described in any one, it is characterized in that, described method also comprises:
Depth data analysis operation is carried out to the data of described display.
5. method as claimed in claim 4, it is characterized in that, described depth data analysis operation comprises: lower brill, upper volume, rotation, section, stripping and slicing.
6. a system for data analysis, is characterized in that, described system comprises:
Confirm module, for confirmation analysis demand;
Physical modeling module, builds physical model for the analysis demand confirmed according to described confirmation module;
Logic modeling module, for the physical model construction logic model constructed by described physical modeling module;
Analytical approach dynamic construction module, for the logical model dynamic construction analytical approach constructed by described logic modeling module;
Analyze and display module, for the analytical data constructed by described analytical approach dynamic construction module and display analysis result.
7. system as claimed in claim 6, it is characterized in that, described analytical approach dynamic construction module comprises:
Taxon, for classifying the logical model of described structure according to business datum;
Alternative unit, for choosing the business datum for creation analysis method;
Analytical approach construction unit, for the business datum selected by described alternative unit, creation analysis method.
8. system as claimed in claim 7, it is characterized in that, described business datum comprises: dimension and index.
9. as the system in claim 6 to 8 as described in any one, it is characterized in that, described system also comprises:
Depth analysis module, for carrying out depth data analysis operation to the data of described display.
10. system as claimed in claim 9, it is characterized in that, described depth data analysis operation comprises: lower brill, upper volume, rotation, section, stripping and slicing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510083685.5A CN104657475A (en) | 2015-02-16 | 2015-02-16 | Method and system for data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510083685.5A CN104657475A (en) | 2015-02-16 | 2015-02-16 | Method and system for data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104657475A true CN104657475A (en) | 2015-05-27 |
Family
ID=53248602
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510083685.5A Pending CN104657475A (en) | 2015-02-16 | 2015-02-16 | Method and system for data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104657475A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956163A (en) * | 2016-05-19 | 2016-09-21 | 乐视控股（北京）有限公司 | Method and device for managing graph database |
| CN108171617A (en) * | 2017-12-08 | 2018-06-15 | 全球能源互联网研究院有限公司 | A kind of power grid big data analysis method and device |
| CN109582803A (en) * | 2018-11-30 | 2019-04-05 | 广东电网有限责任公司 | The construction method and system of competitive intelligence database |
| CN111625573A (en) * | 2019-02-27 | 2020-09-04 | 苏州黑牛新媒体有限公司 | Big data analysis system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075304A (en) * | 2006-05-18 | 2007-11-21 | 河北全通通信有限公司 | Method for constructing decision supporting system of telecommunication industry based on database |
| US20080071758A1 (en) * | 2003-05-08 | 2008-03-20 | International Business Machines Corporation | Iterative data analysis enabled through query result abstraction |
| US8131840B1 (en) * | 2006-09-12 | 2012-03-06 | Packet Plus, Inc. | Systems and methods for data stream analysis using embedded design logic |
| CN103399925A (en) * | 2013-08-05 | 2013-11-20 | 河海大学 | Rainfall multidimensional analysis system based on hydrologic data and implementation method of rainfall multidimensional analysis system |
-
2015
- 2015-02-16 CN CN201510083685.5A patent/CN104657475A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080071758A1 (en) * | 2003-05-08 | 2008-03-20 | International Business Machines Corporation | Iterative data analysis enabled through query result abstraction |
| CN101075304A (en) * | 2006-05-18 | 2007-11-21 | 河北全通通信有限公司 | Method for constructing decision supporting system of telecommunication industry based on database |
| US8131840B1 (en) * | 2006-09-12 | 2012-03-06 | Packet Plus, Inc. | Systems and methods for data stream analysis using embedded design logic |
| CN103399925A (en) * | 2013-08-05 | 2013-11-20 | 河海大学 | Rainfall multidimensional analysis system based on hydrologic data and implementation method of rainfall multidimensional analysis system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956163A (en) * | 2016-05-19 | 2016-09-21 | 乐视控股（北京）有限公司 | Method and device for managing graph database |
| CN108171617A (en) * | 2017-12-08 | 2018-06-15 | 全球能源互联网研究院有限公司 | A kind of power grid big data analysis method and device |
| CN109582803A (en) * | 2018-11-30 | 2019-04-05 | 广东电网有限责任公司 | The construction method and system of competitive intelligence database |
| CN111625573A (en) * | 2019-02-27 | 2020-09-04 | 苏州黑牛新媒体有限公司 | Big data analysis system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102893275B (en) | Excavated for automatic social network diagram and visualization method and system | |
| CN104657475A (en) | Method and system for data analysis | |
| CN105005642A (en) | Three-dimensional model batch format conversion and weight reduction method | |
| CN110990927A (en) | BIM-based whole process consultation method | |
| CN104750393A (en) | Wallpaper setting method and device | |
| KR20170030529A (en) | Visualization suggestions | |
| CN111832105B (en) | Model fusion method and related device | |
| Kim et al. | Evaluation framework for BIM-based VR applications in design phase | |
| CN110070616A (en) | Memory, statistical data rendering method, device and equipment based on GIS platform | |
| Rieder et al. | The formation and early evolution of embedded star clusters in spiral galaxies | |
| CN108475258A (en) | By vision suggestion come formatted document object | |
| US10296626B2 (en) | Graph | |
| CN108733692A (en) | A kind of social information recommendation method and apparatus | |
| US20140035809A1 (en) | Hexahedral Mesh Generator | |
| CN103838861A (en) | Method and display system for dynamically displaying information based on three-dimensional GIS | |
| Brazil et al. | Improving underground mine access layouts using software tools | |
| US20190163169A1 (en) | Parts matching for improved manufacturing assembly | |
| Rogerson et al. | GIS and spatial analysis: introduction and overview | |
| CN107133072A (en) | One kind operation performs method and apparatus | |
| CN104331393A (en) | Equipment and method for providing option by aiming at input operation of user | |
| CN104978334A (en) | Processing method and device of spatiotemporal behavior data | |
| CN103902709A (en) | Association analyzing method | |
| US10586011B1 (en) | System and method for pin automation for topology editing | |
| CN116305895A (en) | Product model generation method, device, computer equipment and storage medium | |
| CN115495519A (en) | Report data processing method and device |
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: 20150527 |