CN104252569A - Method and device for graphical comparison of data - Google Patents
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- CN104252569A CN104252569A CN201310263118.9A CN201310263118A CN104252569A CN 104252569 A CN104252569 A CN 104252569A CN 201310263118 A CN201310263118 A CN 201310263118A CN 104252569 A CN104252569 A CN 104252569A
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Abstract
The invention discloses a method for graphical comparison of data. The method comprises the following steps: acquiring at least two corresponding original data sets of at least two indexes; performing standardization processing on the at least two original data sets respectively to acquire at least two standardized data sets corresponding to the at least two original data sets; selecting one original data set of the at least two original data sets as a standard dimension and calculating according to the standard dimension to obtain each presentation data set corresponding to each standardized data set; graphing each presentation data set to obtain a presentation data comparison chart. The invention also discloses a device for graphical comparison of data. Through the method and device for graphical comparison of data provided by the invention, different orders of magnitude of data and/or different dimensions of data can be effectively compared.
Description
Technical field
The present invention relates to communication technical field, be specifically related to data analysis technique field, particularly relate to method and the device of a kind of graphical data contrast.
Background technology
Data (Data) are the phy symbols by certain regularly arranged combination of carrying or recorded information.Data are normally tested, measure, observe, the result of investigation etc., can provide with the form of numerical value.
Can seem in a large number to find out inherent law in rambling data by Data Comparison.Therefore, in actual applications, Data Comparison can help user to judge, to take appropriate action.
In the prior art, the data carrying out contrasting are needed often to belong to the different orders of magnitude and different dimension.For the data (such as enlivening number and number of clicks) belonging to different dimension, usually cannot contrast.
Summary of the invention
In view of this, embodiments provide method and the device of a kind of graphical data contrast, solve the technical matters that above-mentioned background technology part is mentioned.
The embodiment of the present invention is by the following technical solutions:
A method for graphical data contrast, comprising:
Obtain corresponding at least two original data set of at least two indices;
Respectively standardization is carried out to described at least two original data set, obtains at least two the standardized data groups corresponding with described at least two original data set;
An original data set at least two original data set described in choosing, as standard dimension, calculates each display data group corresponding with each standardized data group according to described standard dimension;
Each display data group graphical, obtains display data comparison diagram.
Correspond, the embodiment of the present invention additionally provides the device of a kind of graphical data contrast, comprising:
Data acquisition module, for obtaining corresponding at least two original data set of at least two indices;
Standardized module, for carrying out standardization respectively to described at least two original data set, obtains at least two the standardized data groups corresponding with described at least two original data set;
Display data computing module, for an original data set at least two original data set described in choosing as standard dimension, calculates each display data group corresponding with each standardized data group according to described standard dimension;
Display data graphical module, for each display data group graphical, obtains display data comparison diagram.
The method of a kind of graphical data contrast provided by the invention and device, have following features:
Choose the standard dimension of an original data set as at least two original data set, thus unify the dimension of each original data set; And, by each display data group graphical, obtain display data comparison diagram, thus effectively can contrast the data of varying number level and different dimension.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 is the schematic flow sheet of the method for a kind of graphical data contrast that the embodiment of the present invention one provides;
Fig. 2 is the schematic flow sheet of the method for a kind of graphical data contrast that the embodiment of the present invention two provides;
Fig. 3 is the schematic flow sheet of the method for a kind of graphical data contrast that the embodiment of the present invention three provides;
Fig. 4 is the schematic flow sheet of the method for a kind of graphical data contrast that the embodiment of the present invention four provides;
Fig. 5 is the raw data contrast histogram that the embodiment of the present invention four provides;
Fig. 6 is the display data contrast histogram that the embodiment of the present invention four provides;
Fig. 7 is the raw data contrast broken line graph that the embodiment of the present invention four provides;
Fig. 8 is the display data contrast broken line graph that the embodiment of the present invention four provides;
Fig. 9 is the structural representation of the device of a kind of graphical data contrast that the embodiment of the present invention five provides;
Figure 10 is the structural representation of the data acquisition module that the embodiment of the present invention five provides;
Figure 11 is the structural representation of the device of a kind of graphical data contrast that the embodiment of the present invention six provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The method of a kind of graphical data contrast disclosed in the embodiment of the present invention and device, can be used in numerous general or special purpose computing system environment or configuration.Such as: personal computer, server computer, handheld device or portable set, laptop device, multicomputer system, the graphical data contrast_environment comprising above any system or equipment etc.
Figure 1 illustrates the first embodiment of the present invention.
Fig. 1 is the realization flow S100 of the method that disclosed a kind of graphical data according to a first embodiment of the present invention contrasts, and details are as follows for this realization flow S100:
Step S101, obtains corresponding at least two original data set of at least two indices.
In the first embodiment of the invention, in communication technical field, index includes but not limited to: enliven number, Add User, number of clicks, service time, accumulative user etc.The CGI(Common Gateway Interface of data is provided, CGI (Common gateway interface) by one) obtain corresponding at least two original data set of data at least two indices.
Such as, when index is for enlivening number and Adding User, obtaining the original data set corresponding with number of enlivening is 10,20,50, is 300,100,200 with the corresponding original data set that Adds User.
Step S102, carries out standardization respectively at least two original data set, obtains at least two the standardized data groups corresponding with at least two original data set.
In the first embodiment of the invention, the original data set of carrying out standardization is at least two, corresponding, and the standardized data group obtained after carrying out standardization to original data set is at least two.
Such as, carry out standardization to the original data set 10,20,50 corresponding with number of enlivening, obtaining standardized data group is 0,0.25,1.Carry out standardization for the original data set 300,100,200 Adding User corresponding, the standardized data group of acquisition is 1,0,0.5.
Step S103, choose an original data set at least two original data set as standard dimension, establishing criteria dimension calculates each display data group corresponding with each standardized data group.
In the first embodiment of the invention, by random selecting original data set as standard dimension, appointment original data set can also can be passed through as standard dimension.
Because each original data set obtained belongs to different dimensions, therefore need to choose an original data set as standard dimension.When have chosen choose an original data set as standard dimension after, establishing criteria dimension, the display data group for showing to user obtained after calculating each standardized data group.
Such as, choose the original data set 10,20,50 corresponding with number of enlivening as standard dimension, calculate the standardized data group 0,0.25,1 relative with number of enlivening, the display data group of acquisition is 10,20,50.Calculate and the standardized data group 1,0,0.5 Adding User relative, the display data group of acquisition is 50,10,30.
Step S104, graphically each display data group, obtain display data comparison diagram.
In the first embodiment of the invention, include in display data comparison diagram each display data in each display data group graphical after information.
Such as, by the display data group 10,20,50 of number of enlivening that obtains and the display data group 50,10,30 that Adds User graphical, obtain the display data comparison diagram enlivening number and Add User.
The data of the label of varying number level and different dimension can effectively be contrasted by the method for a kind of graphical data contrast that first embodiment of the invention provides.
Figure 2 illustrates the second embodiment of the present invention.
Fig. 2 is the flow process 200 of the method for disclosed a kind of graphical data contrast according to a second embodiment of the present invention, and details are as follows for this realization flow 200:
Step S201, obtain corresponding at least two original data set of at least two indices, at least two group raw data are stored in database.
In the step S201 of second embodiment of the invention, each original data set stores in a database, in database, directly obtain at least two corresponding original data set of at least two indices.
Certainly, in practical operation, each original data set also may reside in file.
Need to be described, in the prior art, the data compared are the data that user manually inputs.In the process of hand input-data, data input efficiency is low on the one hand, and corrupt data degree is high on the other hand.
In second embodiment of the invention, obtain at least two original data set that at least two indices be stored in database is corresponding.Thus, improve the efficiency obtaining and need to carry out the raw data of the label contrasted on the one hand, on the other hand, ensure the accuracy obtaining and need to carry out the raw data of the label contrasted.
Step S202, carries out standardization respectively at least two original data set, obtains at least two the standardized data groups corresponding with at least two original data set.
In second embodiment of the invention, respectively standardization is carried out to each group of raw data, obtains the step of the standardized data corresponding with each group of raw data, comprising:
The standardized data corresponding with each group of raw data is calculated according to following formula (1):
Wherein, x is the raw data in original data set, Max is the maximal value in all raw data in the original data set of x place, and Min is the minimum value in all raw data in the original data set of x place, and y is the standardized data obtained after carrying out standardization to raw data x.
Step S203, choose an original data set at least two original data set as standard dimension, establishing criteria dimension calculates each display data group corresponding with each standardized data group.
In the step S203 of second embodiment of the invention, be taken to an original data set in few two original data set as standard dimension, wherein make Min
(n)for being chosen for the minimum value in all raw data in the original data set of standard dimension, Max
(n)for being chosen for the maximal value in all raw data in the original data set of standard dimension, n is the group number of the original data set being chosen for standard dimension; By following formula (2), establishing criteria dimension calculates each display data corresponding with each standardized data in standardized data group, and wherein, the display data group corresponding with standardized data group is made up of each display data calculated:
w=y*(Max
(n)-Min
(n))+Min
(n);(2)
Wherein, y is the standardized data in standardized data group, and w is the display data corresponding with standardized data y calculated.
Step S204, graphically each display data group, obtain display data comparison diagram.
The method of a kind of graphical data contrast provided by second embodiment of the invention, can directly from from data can in obtain need to carry out than the original data set of label, improve the efficiency of raw data, ensure the accuracy of the original data set got simultaneously, and effectively can compare the data of varying number level and different dimension.
Figure 3 illustrates the third embodiment of the present invention.
Fig. 3 is the flow process 300 of the method for disclosed a kind of graphical data contrast according to a third embodiment of the present invention, and details are as follows for this realization flow 300:
Step S301, time of reception setting instruction, wherein time setting instruction comprises the preset time period residing for original data set to be obtained.
Step S302, obtains corresponding at least two original data set of at least two indices in preset time period.
In actual applications, preset time period is set and usually has following two kinds of modes:
Mode one, need to carry out in the time fences that contrasts in dialog box, direct inputting date;
Mode two, needs to carry out, in the time fences that contrasts, choosing the date in drop-down menu in dialog box.
Step S303, carries out standardization respectively at least two original data set, obtains at least two the standardized data groups corresponding with at least two original data set.
Step S304, choose an original data set at least two original data set as standard dimension, establishing criteria dimension calculates each display data group corresponding with each standardized data group.
Step S305, graphically each display data group, obtain display data comparison diagram.
By a kind of disclosed in third embodiment of the invention method of graphical data contrast, the data of varying number level and different dimension effectively can be contrasted.
The fourth embodiment of the present invention has been shown in Fig. 4-8.
Fig. 4 is the flow process 400 of the method for disclosed a kind of graphical data contrast according to a fourth embodiment of the present invention, and details are as follows for this realization flow 400:
Step S401, obtains corresponding at least two original data set of at least two indices.
Step S402, carries out standardization respectively at least two original data set, obtains at least two the standardized data groups corresponding with at least two original data set.
Step S403, choose an original data set at least two original data set as standard dimension, establishing criteria dimension calculates each display data group corresponding with each standardized data group.
Step S404, graphically each display data group, obtain display data comparison diagram.
Step S101 in the first embodiment of the invention to step S104 is identical to step S404 with the S401 in fourth embodiment of the invention, does not repeat them here.
Such as, when label for enliven number A and Add User B time, the original data set corresponding with enlivening number A is 10,20,50, and the original data set corresponding with the B that Adds User is 300,100,200.The standardized data group corresponding with enlivening number A is 0,0.25,1, and the standardized data group corresponding with the B that Adds User is 1,0,0.5.Choose and enliven number A as after standard dimension, obtaining the display data group corresponding with enlivening number A is 10,20,50, the display data group 300,100,200 corresponding with the B that Adds User.The display data comparison diagram histogram obtained as shown in Figure 6.
Step S405, graphically each original data set, obtain raw data comparison diagram.
In fourth embodiment of the invention, display data comparison diagram comprise each display data graphical after full detail.
Such as, when label for enliven number A and Add User B time, the original data set corresponding with enlivening number A is 10,20,50, and the original data set corresponding with the B that Adds User is 300,100,200.Obtain raw data contrast histogram as shown in Figure 5.
Step S406, alternately presents display data comparison diagram and raw data comparison diagram.
In fourth embodiment of the invention step S406, display data comparison diagram and raw data comparison diagram are histogram or broken line graph.
Such as, when label for enliven number A and Add User B time, the original data set corresponding with enlivening number A is 10,20,50, and the original data set corresponding with the B that Adds User is 300,100,200.Obtain raw data contrast broken line graph as shown in Figure 7.The display data contrast broken line graph obtained as shown in Figure 8.
By the method for Data Comparison in disclosed in the embodiment of the present invention four, mode each original data set graphical and each display data group of broken line graph or histogram can be passed through, and raw data comparison diagram and display data comparison diagram can be contrasted, meet the demand of user to comparative pattern.
Show the fifth embodiment of the present invention in figures 9-10.
Fig. 9 is the structural representation of the device of disclosed a kind of graphical data contrast according to a fifth embodiment of the present invention, comprising:
Data acquisition module 51, for obtaining corresponding at least two original data set of at least two indices.
In fifth embodiment of the invention data acquisition module 51, at least two original data set store in a database.
Need to be described, acquisition at least two original data set that also can be corresponding by least two indices in acquisition preset time period.
As shown in Figure 10, data acquisition module 51 comprises:
Time setting command reception submodule 511, for time of reception setting instruction, wherein time setting instruction comprises the preset time period residing for original data set to be obtained;
Raw data obtains submodule 512, obtains corresponding at least two original data set of at least two indices in preset time period.
Standardized module 52, for carrying out standardization respectively at least two original data set, obtains at least two the standardized data groups corresponding with at least two original data set.
In fifth embodiment of the invention Plays module 52, calculate at least two the standardized data groups corresponding with at least two original data set according to following formula (1):
Wherein, x is the raw data in original data set, Max is the maximal value in all raw data in the original data set of x place, and Min is the minimum value in all raw data in the original data set of x place, and y is the standardized data obtained after carrying out standardization to raw data x.
Display data computing module 53, for choosing an original data set at least two original data set as standard dimension, establishing criteria dimension calculates each display data group corresponding with each standardized data group.
In fifth embodiment of the invention display data computing module 53, comprising:
Choose an original data set at least two original data set as standard dimension, wherein make Min
(n)for being chosen for the minimum value in all raw data in the original data set of standard dimension, Max
(n)for being chosen for the maximal value in all raw data in the original data set of standard dimension, n is the group number of the original data set being chosen for standard dimension;
By following formula (2), establishing criteria dimension calculates each display data corresponding with each standardized data in standardized data group, and wherein, the display data group corresponding with standardized data group is made up of each display data calculated:
w=y*(Max
(n)-Min
(n))+Min
(n);(2)
Wherein, y is the standardized data in standardized data group, and w is the display data corresponding with standardized data y calculated.
Display data graphical module 54, for graphically respectively organizing display data, obtains display data comparison diagram.
By a kind of disclosed in the embodiment of the present invention five device of graphical data contrast, the data of varying number level and different dimension effectively can be contrasted.
Figure 11 illustrates the sixth embodiment of the present invention.
Figure 11 is the structural representation of the device of disclosed a kind of graphical data contrast according to a sixth embodiment of the present invention, comprising:
Data acquisition module 61, for obtaining corresponding at least two original data set of at least two indices;
Standardized module 62, for carrying out standardization respectively at least two original data set, obtains at least two the standardized data groups corresponding with at least two original data set;
Display data computing module 63, for choosing an original data set at least two original data set as standard dimension, establishing criteria dimension calculates each display data group corresponding with each standardized data group;
Display data graphical module 64, for each display data group graphical, obtains display data comparison diagram.
Raw data figure module 65, for each original data set graphical, obtains raw data comparison diagram;
Alternately present module 66, for alternately presenting display data comparison diagram and raw data comparison diagram.
Alternately present in module 66 in sixth embodiment of the invention, display data comparison diagram and raw data comparison diagram are histogram or broken line graph.
By a kind of disclosed in the embodiment of the present invention six device of graphical data contrast, effectively can contrast the data of varying number level and different dimension, and correlation data and display data can be switched.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of computer installation, thus they storages can be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to the combination of any specific hardware and software.
These are only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various change and change.All do within spirit of the present invention and principle any amendment, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (14)
1. a method for graphical data contrast, is characterized in that, comprising:
Obtain corresponding at least two original data set of at least two indices;
Respectively standardization is carried out to described at least two original data set, obtains at least two the standardized data groups corresponding with described at least two original data set;
An original data set at least two original data set described in choosing, as standard dimension, calculates each display data group corresponding with each standardized data group according to described standard dimension;
Graphical each display data group described, obtains display data comparison diagram.
2. the method for graphical data contrast according to claim 1, it is characterized in that, described at least two original data set are stored in database.
3. the method for graphical data according to claim 1 contrast, is characterized in that, the step of described acquisition at least corresponding at least two original data set of two indices, comprising:
Time of reception setting instruction, wherein said time setting instruction comprises the preset time period residing for original data set to be obtained;
Obtain corresponding at least two original data set of the described at least two indices in preset time period.
4. the method for graphical data contrast according to claim 1, is characterized in that, in described graphical each display data group described, after obtaining the step of display data comparison diagram, also comprises:
At least two original data set described in graphical, obtain raw data comparison diagram;
Alternately present described display data comparison diagram and described raw data comparison diagram.
5. the method for graphical data contrast according to claim 4, is characterized in that,
Described display data comparison diagram and described raw data comparison diagram are histogram or broken line graph.
6. the method for graphical data contrast according to claim 1, it is characterized in that, described respectively standardization is carried out to described at least two original data set, obtains the step of at least two the standardized data groups corresponding with described at least two original data set, comprising:
According to described at least two standardized data groups that following formulae discovery is corresponding with described at least two original data set:
Wherein, x is the raw data in original data set, Max is the maximal value in all raw data in the original data set of x place, and Min is the minimum value in all raw data in the original data set of x place, and y is the standardized data obtained after carrying out standardization to raw data x.
7. the method for graphical data contrast according to claim 1, it is characterized in that, described choose described in an original data set at least two original data set as standard dimension, calculate the step of each the display data group corresponding with each standardized data group according to described standard dimension, comprising:
An original data set at least two original data set described in choosing, as standard dimension, wherein makes Min
(n)for being chosen for the minimum value in all raw data in the original data set of described standard dimension, Max
(n)for being chosen for the maximal value in all raw data in the original data set of described standard dimension, n is the group number of the original data set being chosen for described standard dimension;
By following formula, each display data corresponding with each standardized data in standardized data group is calculated according to described standard dimension, wherein, corresponding with standardized data group display data group each display data described in calculating forms:
w=y*(Max
(n)-Min
(n))+Min
(n);
Wherein, y is the standardized data in standardized data group, and w is the display data corresponding with standardized data y calculated.
8. a device for graphical data contrast, is characterized in that, comprising:
Data acquisition module, for obtaining corresponding at least two original data set of at least two indices;
Standardized module, for carrying out standardization respectively to described at least two original data set, obtains at least two the standardized data groups corresponding with described at least two original data set;
Display data computing module, for an original data set at least two original data set described in choosing as standard dimension, calculates each display data group corresponding with each standardized data group according to described standard dimension;
Display data graphical module, for graphical each display data group described, obtains display data comparison diagram.
9. the device of graphical data contrast according to claim 8, it is characterized in that, described at least two original data set are stored in database.
10. the device of graphical data contrast according to claim 8, it is characterized in that, described data acquisition module, comprising:
Time setting command reception submodule, for time of reception setting instruction, wherein said time setting instruction comprises the preset time period residing for original data set to be obtained;
Raw data obtains submodule, obtain the described at least two indices in preset time period corresponding described at least two original data set.
The device of 11. graphical data contrasts according to claim 8, it is characterized in that, described device also comprises:
Raw data figure module, for the described raw data of graphical each group, obtains raw data comparison diagram;
Alternately present module, for alternately presenting described display data comparison diagram and described raw data comparison diagram.
The device of 12. graphical data contrasts according to claim 11, is characterized in that,
Described display data comparison diagram and described raw data comparison diagram are histogram or broken line graph.
The device of 13. graphical data contrasts according to claim 8, it is characterized in that, described standardized module, comprising:
According to described at least two standardized data groups that following formulae discovery is corresponding with described at least two original data set:
Wherein, x is the raw data in original data set, Max is the maximal value in all raw data in the original data set of x place, and Min is the minimum value in all raw data in the original data set of x place, and y is the standardized data obtained after carrying out standardization to raw data x.
The method of 14. graphical data contrasts according to claim 8, it is characterized in that, described display data computing module, comprising:
An original data set at least two original data set described in choosing, as standard dimension, wherein makes Min
(n)for being chosen for the minimum value in all raw data in the original data set of described standard dimension, Max
(n)for being chosen for the maximal value in all raw data in the original data set of described standard dimension, n is the group number of the original data set being chosen for described standard dimension;
By following formula, each display data corresponding with each standardized data in standardized data group is calculated according to described standard dimension, wherein, corresponding with standardized data group display data group each display data described in calculating forms:
w=y*(Max
(n)-Min
(n))+Min
(n);
Wherein, y is the standardized data in standardized data group, and w is the display data corresponding with standardized data y calculated.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113093976A (en) * | 2015-12-22 | 2021-07-09 | 创新先进技术有限公司 | Method and device for realizing data graph comparison on touch screen equipment |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101572623A (en) * | 2009-04-30 | 2009-11-04 | 上海大学 | Method for comprehensively evaluating network performance based on subjective and objective combination evaluation |
CN102246110A (en) * | 2008-12-15 | 2011-11-16 | 斯奈克玛 | Standardization of data used for monitoring an aircraft engine |
CN103106813A (en) * | 2013-01-18 | 2013-05-15 | 南京航空航天大学 | Traffic situation complexity assessment method based on index system |
-
2013
- 2013-06-27 CN CN201310263118.9A patent/CN104252569B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102246110A (en) * | 2008-12-15 | 2011-11-16 | 斯奈克玛 | Standardization of data used for monitoring an aircraft engine |
CN101572623A (en) * | 2009-04-30 | 2009-11-04 | 上海大学 | Method for comprehensively evaluating network performance based on subjective and objective combination evaluation |
CN103106813A (en) * | 2013-01-18 | 2013-05-15 | 南京航空航天大学 | Traffic situation complexity assessment method based on index system |
Non-Patent Citations (2)
Title |
---|
谭茂金等: "测井数据标准化方法研究及软件设计", 《物探化探计算技术》 * |
马立平: "统计数据标准化——无量纲化方法", 《北京统计》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113093976A (en) * | 2015-12-22 | 2021-07-09 | 创新先进技术有限公司 | Method and device for realizing data graph comparison on touch screen equipment |
CN113093976B (en) * | 2015-12-22 | 2024-06-07 | 创新先进技术有限公司 | Method and device for realizing data graph comparison on touch screen equipment |
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