CN101470746A - Multi-layer statistical diagram system and method with data correlation function - Google Patents
Multi-layer statistical diagram system and method with data correlation function Download PDFInfo
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- CN101470746A CN101470746A CNA2007103078065A CN200710307806A CN101470746A CN 101470746 A CN101470746 A CN 101470746A CN A2007103078065 A CNA2007103078065 A CN A2007103078065A CN 200710307806 A CN200710307806 A CN 200710307806A CN 101470746 A CN101470746 A CN 101470746A
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Abstract
A multi-layer statistical diagram system with data association function and a method thereof are provided, which aim to solve the problems that an original statistical diagram system and a method thereof only can observe the data trend in a statistical diagram, and are unable to directly conduct the associated data retrieval aiming at the analyzed data on a displayed statistical diagram, and to further associate to generate a statistical diagram. And the multi-layer statistical diagram system and the method thereof can realize the effect of fast inquiring associated data in a great deal of data through conducting the data classification while generating a statistical diagram, and then conducting the detailed classification for data groups after classified and displaying on the lower statistical diagram.
Description
Technical field
A kind of system and method for statistical graph, particularly about a kind of by when producing statistical graph, carrying out data qualification, and carry out the multilayer statistical graph system and method that thin part class is shown in down the tool data correlation function in one deck statistical graph again with sorted data monoid.
Background technology
In daily life, we usually need to use a large amount of data of different types, for can be in order and fast mass data is analyzed and used, therefore how with mass data with the user the mode of easy understanding show, just seem very important.Utilizing statistical graph to show, is a kind of mode that can allow the user understand relevance between the data fast, and when discussing at mass data or reporting, by visual auxiliary, it is smooth more that communication will become.In recent years, fast development along with computing machine science and technology, statistical graph is in conjunction with the arithmetic capability and the processing speed of computing machine, not only significantly promoted the deal with data amount of statistical graph, also improved the accuracy of statistical graph, the necessary in the past statistical graph that spends long-time analysis and draw, present needs several simple instruction manipulations just can produce.
Suitable many of statistical graph type, modal subtype mainly contains pie chart, broken line graph or bar chart etc., pie chart is by data based different pieces of information monoid is produced percent, by observing the size of block in the middle of the pie chart, can learn that just percent that each data monoid accounts for all data volumes why.Broken line graph then is the trend that is used for showing some data volume number change, as the stock trend graph, is quite common a kind of broken line graph.And bar chart generally is the figure that is used for showing quantity variance between the data bulk of a certain data monoid and other data monoid.By the demonstration of these statistical graphs, the user just can be fast and why is clearly understood the quantity of great mass of data or the trend of variation.
Yet, by showing single statistical graph, only can observe the trend of overall data, but can't be on the statistical graph that has shown carry out the relevance data and have access at analyzing data, also can't further relatedly produce statistical graph, therefore be necessary to propose improved technological means, solve this problem.
Summary of the invention
In view of the above system and method that proposes statistical graph in the past in the prior art only can be in statistical graph observation data trend, and can't be further by on the statistical graph that has shown, carrying out the relevance data and have access at analyzing data, and the further related present situation that produces statistical graph, the object of the invention is to provide a kind of multilayer statistical graph system and method for tool data correlation function, can be used for addressing the above problem.
In the multilayer statistical graph system of tool data correlation function provided by the present invention, it includes: database module, and in order to store at least one data item, wherein each data item all has at least one attribute; Select module, in order to selecting at least one data item in those data item as first data acquisition, and in order to select first diagrammatic form; Analysis module in order to analyzing those data item in this first data acquisition according to the first required combinations of attributes of this first diagrammatic form, and classifies as at least one first data monoid with those data item in this first data acquisition; And display module, be used to show in the first identical figure top layer that those first data monoids show in the block in first of each correspondence; Wherein, when selecting one of those the first demonstration blocks and second diagrammatic form by the selection module, show that with first of this selection the data item of the pairing first data monoid of block is as one second data acquisition, and with the required second combinations of attributes analysis of this second diagrammatic form and classify as at least one second data monoid, show that according to this second diagrammatic form those second data monoids show in the block in second of each correspondence in the second identical figure top layer again.
In the multilayer statistical graph method of tool data correlation function provided by the present invention, its step includes: set up first data acquisition that comprises at least one data item, wherein each data item all has at least one attribute; Select first diagrammatic form, and analyze those data item and classify as at least one first data monoid with the first required combinations of attributes of this first diagrammatic form; Show that according to this first diagrammatic form those first data monoids show in the block in one first of each correspondence in one first identical figure top layer; When selecting one of those the first demonstration blocks and second diagrammatic form, show that with first of this selection the data item of pairing this first data monoid of block is as second data acquisition, and analyze those data item of second data acquisition, and classify as at least one second data monoid with one of required second combinations of attributes of this second diagrammatic form; Reach according to this second diagrammatic form and show that in one second identical figure top layer those second data monoids show in the block in one of each correspondence second.
By above-mentioned technological means, the present invention can reach the effect of fast query relevance data in great mass of data.
Description of drawings
Fig. 1 is the calcspar of layer statistical graph system more than the tool data correlation function of the present invention.
Fig. 2 is the process flow diagram of layer statistical graph method more than the tool data correlation function of the present invention.
Fig. 3 A～3C is the embodiment synoptic diagram of the multilayer statistical graph of tool data correlation function of the present invention.
Embodiment
Below will cooperate graphic and embodiment describes embodiments of the present invention in detail, whereby how the present invention is passed through to produce the multilayer statistical graph, carry out data association simultaneously, solve in the past statistical graph system and method only can be in statistical graph observation data trend, and can't further on the statistical graph that has shown, directly have access to the relevance data at analyzing data, and the further related problem that produces statistical graph, and describe at the implementation procedure that how to reach the effect of fast query relevance data in mass data, for fully understanding and implementing according to this.
At first, define at the term that is provided among the present invention.In the data item described in the present invention, for having the data of at least one attribute, when analyzing data item, will carry out corresponding step according to the property content that the needed attribute of diagrammatic form obtains in each data item, the classification of the line data item of going forward side by side according to diagrammatic form.And, can be pie chart, broken line graph or bar chart, or be the chart of other type in diagrammatic form of the present invention.
Pie chart is by with the data based dissimilar number percents that produce, and by observing the size of block in the middle of the pie chart, can learn that just percent that each data monoid accounts for all data volumes why.Broken line graph then is the trend that is used for showing some data volume number change, as the stock trend graph, is quite common a kind of broken line graph.And bar chart generally is the figure that is used for showing quantity variance between the data bulk of a certain data monoid and other data monoid.By the demonstration of these statistical graphs, the user just can be fast and why is clearly understood the quantity of great mass of data or the trend of variation.
In fact, other can also can be applied among the present invention in order to the diagrammatic form that shows statistic analysis result, and the present invention does not impose any restrictions this.
And in figure of the present invention top layer, then be to show by display window, different figure top layer will be represented with different display windows.When the user selects one of them to show block in a certain figure top layer that shows, just be equivalent to the data of a certain data monoid are carried out data association again, will open new display window and be used for the data of the selected data monoid of user are presented in the new figure top layer with new diagrammatic form this moment, when closing a certain display window, just can get back to last display window (being last figure top layer), can allow the user on statistical graph, understand data trend whereby, and again the data of other data monoid of desiring to check are carried out association by the data of analyzing later, below will cooperate the graphic further explanation of doing of the present invention.
At first, will be with " Fig. 1 ", for the calcspar of the multilayer statistical graph system of tool data correlation function of the present invention comes running between each square of illustrative system.Shown in " Fig. 1 ", the multilayer statistical graph system of tool data correlation function of the present invention comprises: database module 101, selection module 102, analysis module 103 and display module 104.
Select module 102, in order to select at least one data item in those data item as data acquisition, simultaneously also in order to select diagrammatic form.What pay particular attention to is, selecting module 102 to select diagrammatic forms can be to select according to the attribute of data acquisition, and diagrammatic form can be pie chart, broken line graph, bar chart, or is other diagrammatic form.
Under the state of system initialization, data acquisition can coefficient according to all data item in the middle of the library module 101, when analysis module 103 according to after the diagrammatic form analysis and sorting out those data item, just can show that module by analysis 103 analyzes the figure top layer that the back is produced by display module 104.Be to show that with difference block shows each data monoid in the figure top layer, when the user selects a certain demonstration block, just be equivalent to by selecting module 102 to select in some data monoids all data item to gather as new data, and this new data set contract sample can be analyzed and the new figure of classification back generation top layer by analysis module 103, and shows by display module 104.Figure top layer by in layer shows, the user can directly have access to just that the relevance data is further related again to produce statistical graph by analysis of data, and can reach the effect of fast query relevance data in mass data.
Then, be that the process flow diagram of multilayer statistical graph data correlation method of the present invention illustrates implementation step of the present invention with " Fig. 2 ".
At first, set up data acquisition (step 201) earlier, this data acquisition can be the data acquisition that all data became in the database, also can be by the data acquisition of dividing in the data acquisition originally in the subclass of coming out that all data item became.The user can select diagrammatic form (step 202) by selecting module 102, and diagrammatic form can be pie chart, broken line graph, bar chart, or the diagrammatic form of other type.Then, analyze the data item in the data acquisition and classify as at least one data monoid (step 203) according to selected diagrammatic form.The process of analyzing comprises with statistical formula calculates those data item, and then show this figure top layer (step 204) according to selected diagrammatic form, the figure top layer that shows more can show by a display window, the user can pull display window and set the storing position, also can close or open next figure top layer.Then, judge whether the user selects to show block (step 205), when the user selects in the figure top layer wherein one to show block, just be new data acquisition (step 206) with the pairing data item of this demonstration block, the non-selected demonstration block of user then is shown to till the figure top layer that is produced at present.
Below, will cooperate graphic the present invention of explanation of the present invention by when producing statistical graph, carrying out data qualification with an embodiment, and carry out thin part class with sorted data monoid and be shown in down the practice in one deck statistical graph again.
Suppose to have a database, wherein the stored data of database are data item that a record user learns with the course learning system.Comprise attributes such as test subject, test duration, content measurement, test result in each data item.Therefore when user's use has the course learning system of system and method for the present invention, then can select desire to show the diagrammatic form of course learning achievement by user's interface (not shown), the diagrammatic form that can select comprises pie chart, broken line graph, bar chart or other diagrammatic form.
If the user selects pie chart as diagrammatic form, the attribute of supposing the pie chart correspondence is the test subject, therefore analysis module 103 just can be tested the data item in the subject analytical database according to difference earlier and classify, data item number as different pieces of information monoids such as the study of foundation Tang poetry, mathematical studying, English study and Japanese study calculates percent, to produce the first figure top layer, demonstrate the first figure top layer 301 by display module 104 with different demonstration blocks then.
Shown in " Fig. 3 A ", the first figure top layer 301 that shows is pie charts, shown that wherein each classification " Tang poetry study ", " mathematical studying ", " English study " reach " Japanese study " etc., the user can learn just in the process of all study that each study section purpose study percent why.If the user wishes to carry out the inquiry of thin portion again at the data item in the data monoid of " Tang poetry study ", just can on the first data monoid 302 " Tang poetry study " on the first figure top layer 301, click, when clicking, the user also can select the diagrammatic form on the second figure top layer of desire demonstration by the option interface (not shown), diagrammatic form still can be from pie chart, broken line graph or bar chart, or select in other diagrammatic form, suppose that it is second diagrammatic form that the user selects a broken line graph, and the attribute of this broken line graph correspondence is that transverse axis must be arranged is learning time, the longitudinal axis is a test result, then the data item that just can analyze again in the first data monoid 302 " Tang poetry study " of analysis module 103 is classified again, produces the second figure top layer 303.
Then, display module 104 can be again with display window show shown in " Fig. 3 B " the second figure top layer 303, simultaneously the user has been if clicked one of them data monoid in the second figure top layer 303, just can produce the 3rd figure top layer 304 shown in " Fig. 3 C ", by that analogy.Therefore, when the user wants to inquire about thin portion data, just can find out the trend or the statistics of data earlier from statistical graph, therefore next layer data of direct correlation from statistics just can inquire the relevance data faster in mass data again.
In sum, difference between the present invention and the prior art is to have by carrying out data association simultaneously in what produce the multilayer statistical graph as can be known, can solve whereby in the past statistical graph system and method only can be in statistical graph observation data trend, and can't further directly have access to the problem of relevance data, and then reach the effect of the single data of fast query in mass data by analyzing data.
Though embodiment provided by the present invention as above, described content is not in order to direct qualification scope of patent protection of the present invention.Any persond having ordinary knowledge in the technical field of the present invention under the prerequisite that does not break away from spirit and scope provided by the present invention, can do a little change what implement in form and on the details.Scope of patent protection of the present invention, still must with the appending claims scope the person of being defined be as the criterion.
Claims (8)
1. the multilayer statistical graph system of a tool data correlation function, this system comprises:
One database module, in order to store at least one data item, wherein respectively this data item all has at least one attribute;
One selects module, in order to selecting at least one data item in those data item as one first data acquisition, and in order to select one first diagrammatic form;
One analysis module in order to analyzing those data item in this first data acquisition according to one first required combinations of attributes of this first diagrammatic form, and classifies as at least one first data monoid with those data item in this first data acquisition; And
One display module is used to show in the one first identical figure top layer that those first data monoids show in the block in one first of each correspondence;
Wherein, when selecting one of those first demonstration blocks and one second diagrammatic form by this selection module, show that with first of this selection the data item of pairing this first data monoid of block is as one second data acquisition, and with the required one second combinations of attributes analysis of this second diagrammatic form and classify as at least one second data monoid, show that according to this second diagrammatic form those second data monoids show in the block in one second of each correspondence in one second identical figure top layer again.
2. layer statistical graph system more than the tool data correlation function as claimed in claim 1, wherein this first combinations of attributes and this second combinations of attributes are made up of this at least one attribute, and respectively respectively this diagrammatic form decision of this set of properties syzygy basis.
3. layer statistical graph system more than the tool data correlation function as claimed in claim 1, wherein this analysis module system calculates those data item with statistical formula and sorts out.
4. layer statistical graph system more than the tool data correlation function as claimed in claim 1, wherein this display module more comprises with a display window displayed map top layer, and this display window system sets display position by the user and controls the demonstration of this display window or close.
5. the multilayer statistical graph method of a tool data correlation function, this method comprises the following step:
Foundation comprises one first data acquisition of at least one data item, and wherein respectively this data item all has at least one attribute;
Select one first diagrammatic form, and analyze those data item and classify as at least one first data monoid with one first required combinations of attributes of this first diagrammatic form;
Show that according to this first diagrammatic form those first data monoids show in the block in one first of each correspondence in one first identical figure top layer;
When selecting one of those first demonstration blocks and one second diagrammatic form, show that with first of this selection the data item of pairing this first data monoid of block is as one second data acquisition, and analyze those data item of this second data acquisition, and classify as at least one second data monoid with one second required combinations of attributes of this second diagrammatic form; And
Show that according to this second diagrammatic form those second data monoids show in the block in one second of each correspondence in one second identical figure top layer.
6. the multilayer statistical graph method of tool data correlation function as claimed in claim 5, wherein this first combinations of attributes and this second combinations of attributes all are made up of this at least one attribute, and respectively respectively this diagrammatic form decision of this set of properties syzygy basis.
7. the multilayer statistical graph method of tool data correlation function as claimed in claim 5, the process of wherein analyzing those data item are to calculate those data item and sort out with statistical formula.
8. the multilayer statistical graph method of tool data correlation function as claimed in claim 5, wherein this method more comprises with a display window displayed map top layer, and this display window is to be set display position and controlled the demonstration of this display window or close by the user.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521412A (en) * | 2011-12-28 | 2012-06-27 | 用友软件股份有限公司 | Data association device and data association method |
| CN103733191A (en) * | 2011-08-10 | 2014-04-16 | 微软公司 | Automatic generation of trend charts |
| CN104333325A (en) * | 2014-11-04 | 2015-02-04 | 上海许继电气有限公司 | Photovoltaic power station inverter system operation state monitoring visualization method |
| CN106227750A (en) * | 2016-07-14 | 2016-12-14 | 上海超橙科技有限公司 | Data analysis and methods of exhibiting and system |
| CN107577723A (en) * | 2017-08-21 | 2018-01-12 | 中云开源数据技术（上海）有限公司 | A kind of method for exhibiting data |
| CN107578457A (en) * | 2017-08-21 | 2018-01-12 | 中云开源数据技术（上海）有限公司 | A kind of visualization system and its display methods of intussusception block diagram |
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2007
- 2007-12-28 CN CNA2007103078065A patent/CN101470746A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103733191A (en) * | 2011-08-10 | 2014-04-16 | 微软公司 | Automatic generation of trend charts |
| CN102521412A (en) * | 2011-12-28 | 2012-06-27 | 用友软件股份有限公司 | Data association device and data association method |
| CN102521412B (en) * | 2011-12-28 | 2013-04-24 | 用友软件股份有限公司 | Data association device and data association method |
| CN104333325A (en) * | 2014-11-04 | 2015-02-04 | 上海许继电气有限公司 | Photovoltaic power station inverter system operation state monitoring visualization method |
| CN104333325B (en) * | 2014-11-04 | 2017-08-01 | 上海许继电气有限公司 | The method for visualizing of photovoltaic plant inverter system monitoring running state |
| CN106227750A (en) * | 2016-07-14 | 2016-12-14 | 上海超橙科技有限公司 | Data analysis and methods of exhibiting and system |
| CN107577723A (en) * | 2017-08-21 | 2018-01-12 | 中云开源数据技术（上海）有限公司 | A kind of method for exhibiting data |
| CN107578457A (en) * | 2017-08-21 | 2018-01-12 | 中云开源数据技术（上海）有限公司 | A kind of visualization system and its display methods of intussusception block diagram |
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Open date: 20090701 |