CN103605522A - Method and device for processing data - Google Patents

Method and device for processing data Download PDF

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Publication number
CN103605522A
CN103605522A CN201310603682.0A CN201310603682A CN103605522A CN 103605522 A CN103605522 A CN 103605522A CN 201310603682 A CN201310603682 A CN 201310603682A CN 103605522 A CN103605522 A CN 103605522A
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data
target
index
user
types
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黄佳嘉
刘合翔
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Beijing Gridsum Technology Co Ltd
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Beijing Gridsum Technology Co Ltd
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Abstract

The invention discloses a method and a device for processing data. The method for processing the data includes acquiring data indexes; classifying the data indexes to obtain a plurality of types of data indexes; respectively acquiring the data corresponding to the various types of data indexes; performing algorithmic logic operation on the acquire data to obtain symbolic information corresponding to the acquired data; outputting the symbolic information. Different pieces of symbolic information correspond to the different data index types. The method and the device have the advantage that an effect of improving the readability of data representation can be realized by the method and the device.

Description

Data processing method and device
Technical field
The present invention relates to internet arena, in particular to a kind of data processing method and device.
Background technology
Data target is along with the birth of computing machine is born thereupon, and the development of internet makes the kind of obtaining channel and data of data more and more.Popularizing of simultaneous computer, makes data also start to be contacted by public users, and the user's that data need to be faced knowledge grade is more and more.The accuracy of data becomes the needed feature of professional user gradually, and the demand characteristic that not public users needs more.The expression-form of precise information has a lot, for example: traditional have broken line graph, cake chart, scatter diagram etc.; Modern age have line of apsides figure, cytological map, geo-location figure, Computer analogue diarams such as gene map.The scientific collection of illustrative plates that these belong to technical modelling, is all intuitively, the structure of accurate expression data.But the elementary demand of public users be cannot meet, thereby the scope of popularization and the weakening of dynamics of concept data caused.
Along with the universalness of the user after data mining, cause the transfer mode of data to change to some extent, the accuracy of data of no longer take is guiding, but with user's availability, Comprehensible, legibility is guiding.The expression way of existing data is being that saturability is lower aspect information reception and registration, and Comprehensible and readability are all lower.
In addition, more and more when the accumulation of data, data value is increasing, and dimension is more and more, and Data Source is huge, and numerical value accumulation is large, increased data reading difficulty and understand difficulty.Because the systematicness of accurate pattern is comparatively fixed with single and caused the expression of existing pattern will face simplification, the predicament of indistinguishable.
For the lower problem of the readability of data representation in prior art, effective solution is not yet proposed at present.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of data processing method and device, to solve the lower problem of the readability of data representation in prior art.
To achieve these goals, according to an aspect of the present invention, provide a kind of data processing method.Data processing method according to the present invention comprises: obtain data target; Data target is classified, obtain the data target of a plurality of types; Obtain respectively the data corresponding to data target of a plurality of types; Data execution algorithm logical operation to getting, obtains the symbolic information corresponding with the data that get, wherein, and different data target type corresponding to symbolic information; And output symbol information.
Further, the data target of a plurality of types comprises user data index, computer data index and influence power index, wherein, user data index is the data target of user behavior reaction, computer data index is the data target of computing machine behavior reaction, influence power index is the index of the impact that causes of user data index and computer data index, wherein, data corresponding to data target of obtaining respectively a plurality of types comprise: obtain user data corresponding to user data index, user data is the data of user behavior reaction; Obtain computer data corresponding to computer data index, computer data is the data of computing machine behavior reaction; And obtain influence power data corresponding to influence power index, influence power data are the data of the influence power that causes in communication process of user data and computer data.
Further, symbolic information is graphic language symbol, the data execution algorithm logical operation getting is comprised: the data of extracting the data target of a plurality of types; To the data actuating logic computing after extracting; And generate corresponding graphic language symbol by the data after computing, and wherein, different data target type corresponding to graphic language symbol.
Further, data corresponding to data target of obtaining respectively a plurality of types comprise: the data corresponding to data target of a plurality of types of Real-time Obtaining, and wherein, after output symbol information, data processing method also comprises: display graphics linguistic notation; And the data of data target corresponding to the graphic language symbol of real-time update after showing.
Further, obtain the size of display screen; And according to the size of display screen, graphic language symbol is carried out to accommodation.
To achieve these goals, according to a further aspect in the invention, provide a kind of data processing equipment.Data processing equipment according to the present invention comprises: the first acquiring unit, for obtaining data target; Taxon, for data target is classified, obtains the data target of a plurality of types; Second acquisition unit, for obtaining respectively the data corresponding to data target of a plurality of types; Arithmetic element, the data execution algorithm logical operation for to getting, obtains the symbolic information corresponding with the data that get, wherein, different data target type corresponding to symbolic information; And output unit, for output symbol information.
Further, the data target of a plurality of types comprises user data index, computer data index and influence power index, wherein, user data index is the data target of user behavior reaction, computer data index is the data target of computing machine behavior reaction, influence power index is the index of the impact that causes of user data index and computer data index, wherein, second acquisition unit comprises: the first acquisition module, for obtaining user data corresponding to user data index, user data is the data of user behavior reaction; The second acquisition module, for obtaining computer data corresponding to computer data index, computer data is the data of computing machine behavior reaction; And the 3rd acquisition module, for obtaining influence power data corresponding to influence power index, influence power data are the data of the influence power that causes in communication process of user data and computer data.
Further, symbolic information is graphic language symbol, and arithmetic element comprises: extraction module, for extracting the data of the data target of a plurality of types; Computing module, for the data actuating logic computing to after extracting; And generation module, for the data by after computing, generate corresponding graphic language symbol, wherein, different data target type corresponding to graphic language symbol.
Further, second acquisition unit is also for data corresponding to the data target of a plurality of types of Real-time Obtaining, and wherein, data processing equipment also comprises: display unit, and for after output symbol information, display graphics linguistic notation; And updating block, for the data of data target corresponding to the graphic language symbol after real-time update demonstration.
Further, display unit comprises: the 4th acquisition module, for obtaining the size of display screen; And adjusting module, for graphic language symbol being carried out to accommodation according to the size of display screen.
By the present invention, adopt data processing method to comprise: to obtain data target; Data target is classified, obtain the data target of a plurality of types; Obtain respectively the data corresponding to data target of a plurality of types; Data execution algorithm logical operation to getting, obtains the symbolic information corresponding with the data that get, wherein, and different data target type corresponding to symbolic information; And output symbol information, by data target is classified, and obtain respectively the data that all types of data targets are corresponding, by the data execution algorithm logical operation to getting, obtain symbolic information corresponding to data, then export this symbolic information, a large amount of data corresponding to every data target are converted into symbolic information and are convenient to user's understanding and read, solved the lower problem of the readability of data representation in prior art, reached the readable effect that improves data representation.
Accompanying drawing explanation
The accompanying drawing that forms the application's a part is used to provide a further understanding of the present invention, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is according to the structural representation of the data processing equipment of first embodiment of the invention;
Fig. 2 is according to the structural representation of the data processing equipment of second embodiment of the invention;
Fig. 3 is according to the structural representation of the data processing equipment of third embodiment of the invention;
Fig. 4 is according to the process flow diagram of the data processing method of first embodiment of the invention;
Fig. 5 is according to the process flow diagram of the data processing method of second embodiment of the invention;
Fig. 6 is according to the process flow diagram of the data processing method of third embodiment of the invention;
Fig. 7 is according to the schematic diagram of the graphic language symbol of the embodiment of the present invention; And
Fig. 8 is the schematic diagram after adjusting according to the graphic language symbol of the embodiment of the present invention.
Embodiment
It should be noted that, in the situation that not conflicting, embodiment and the feature in embodiment in the application can combine mutually.Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
The embodiment of the present invention provides a kind of data processing equipment, and this device can be realized its function by computer equipment.
Fig. 1 is according to the structural representation of the data processing equipment of first embodiment of the invention.As shown in Figure 1, this data processing equipment comprises: the first acquiring unit 10, taxon 20, second acquisition unit 30, arithmetic element 40 and output unit 50.
The first acquiring unit 10 is for obtaining data target.
Data target can comprise the index that a plurality of data are corresponding, and different data targets reflects different objective facts, and different data target correspondences different achievement datas.
Taxon 20, for described data target is classified, obtains the data target of a plurality of types.
Because the kind of data target is a lot, different data targets reflects different objective facts, after obtaining data target, the data target getting is classified, the data target that data target is divided into a plurality of types, wherein, each type can comprise a plurality of data targets.To the classification of data target, can be that angle based on user is classified to data target, thereby can take user's availability, Comprehensible and legibility be guide, meets the demand of general public users.Wherein, based on user perspective, data target is classified, can be divided into relevant user's data target, the three norms types such as influence power that cause in the data of relevant calculation machine (or data of internet) index and Information Communication process.In polymorphic type index, by forming the logic of a propagation, this logic is carried out to information division in the intelligible mode of user simultaneously, be divided into the information that is directed to user, be directed to the information of computing machine or internet, be directed to the information of combined influence power.User is behavior promoter the speciality with self, and computing machine and internet are Information Communication passages, comprises the original attribute of computing machine and internet community, and both act on and the virtual society of formation and the influence power of society.
Second acquisition unit 30 is for obtaining respectively the data corresponding to data target of described a plurality of types.
After data target is classified, can obtain further the data that all types of data targets are corresponding, because data target is to embody objective fact by data corresponding to data target, for example, average this data target of loading duration for some webpages, need to, by obtaining the duration of loading each time of this webpage, through the data of the loading duration in statistics a period of time, calculate the average loading duration of webpage in this period.
Arithmetic element 40, for the data execution algorithm logical operation to getting, obtains the symbolic information corresponding with the data that get, wherein, and different data target type corresponding to symbolic information.
The data of execution algorithm logical operation can be the data that any one data target is corresponding, can be also a plurality of concrete data targets are carried out to computing the symbolic information of the every data target obtaining, different data target type corresponding to symbolic information.Symbolic information can be for reflecting the data value of the core data of different pieces of information index, for example, and the ratio of computational data, number percent or concrete numerical value etc.; Also can be by specific targets for object, analyzing of the algorithm logic of index and corresponding data visualization model, distinctive icon or the pattern of the pre-designed index concept that meets indices obtaining, can also be the symbolic information that icon that the data value of core data of reflection different pieces of information index and indices are corresponding or pattern combine, thereby form graphics logic language.Wherein, graphic language is that thing is converted into language of image, has the image of propagability and reading property, by this image, can understand its corresponding data target.The combination of figure is not that single title is established and aesthetics.Through thering is the combination of the figure of certain logicality, express a logic or a kind of macroscopic description.The content of wherein passing on after figure combination and the logic in content are exactly graphics logic language.
Output unit 50 is for exporting described symbolic information.
After obtaining the symbolic information that each data target is corresponding, output symbol information.The symbolic information of output can be for showing pointer type and the data message corresponding to this data target of corresponding data target.
According to the embodiment of the present invention, by data target is classified, and obtain respectively the data that all types of data targets are corresponding, by the data execution algorithm logical operation to getting, obtain symbolic information corresponding to data, then export this symbolic information, a large amount of data corresponding to every data target are converted into symbolic information and are convenient to user's understanding and read, solved the lower problem of the readability of data representation in prior art, reached the readable effect that improves data representation.
Fig. 2 is according to the structural representation of the data processing equipment of second embodiment of the invention.The data processing equipment of this embodiment can be used as a kind of preferred implementation of the data processing equipment of above-described embodiment.As shown in Figure 2, this data processing equipment comprises the first acquiring unit 10, taxon 20, second acquisition unit 30, arithmetic element 40 and output unit 50, wherein, second acquisition unit 30 comprises the first acquisition module 301, the second acquisition module 302 and the 3rd acquisition module 303.The first acquiring unit 10 shown in the first acquiring unit 10, taxon 20, arithmetic element 40 and output unit 50 Fig. 1, taxon 20, arithmetic element 40 are identical with output unit 50 functions, do not repeat here.
In the present embodiment, the data target of described a plurality of types comprises user data index, computer data index and influence power index, wherein, described user data index is the data target of user behavior reaction, described computer data index is the data target of computing machine behavior reaction, and described influence power index is the index of the impact that causes of described user data index and described computer data index.
The first acquisition module 301 is for obtaining user data corresponding to described user data index, and described user data is the data of user behavior reaction.
User data can be user's age, the data of the reflection such as user's address user basic information, can be also the data of the behavior generation of user's operation, forwarding, issue etc. the consciousness with people.Because these data are when user uses computing machine or internet, have record, so the statistics of these data and obtain and can obtain by computing machine or internet.
The second acquisition module 302 is for obtaining computer data corresponding to described computer data index, and described computer data is the data of computing machine behavior reaction.
Because internet is by realizations such as computer equipments, so the computer data here can be to be carried out the data of processing procedure by computing machine.For example the connection rate of the refreshing frequency of webpage, website is, these data by computing machine processing behavior reaction of loading duration of webpage etc.
The 3rd acquisition module 303 is for obtaining influence power data corresponding to described influence power index, and described influence power data are the data of the influence power that causes in communication process of described user data and described computer data.
Influence power data can be the data on the impact of the network virtual world and real world that the information such as user data and computer data cause in communication process.
Fig. 3 is according to the structural representation of the data processing equipment of third embodiment of the invention.The data processing equipment of this embodiment can be used as a kind of preferred implementation of the data processing equipment of above-described embodiment.As shown in Figure 3, this data processing equipment comprises the first acquiring unit 10, taxon 20, second acquisition unit 30, arithmetic element 40 and output unit 50, and wherein, arithmetic element 40 comprises extraction module 401, computing module 402 and generation module 403.The first acquiring unit 10 shown in the first acquiring unit 10, taxon 20, second acquisition unit 30 and output unit 50 Fig. 1, taxon 20, second acquisition unit 30 are identical with output unit 50 functions, do not repeat here.
Extraction module 401 is for extracting the data of the data target of described a plurality of types.
The data of the data target extracting can be the core datas of data target, and this core data is comprehensive higher data in this data target.The core data of sorted a plurality of data targets is extracted, so that these data are processed accordingly.
Computing module 402 is for the data actuating logic computing to after extracting.
After the core data of data target that extracts a plurality of types, obtain thering is accordingly comprehensive data value, for example, the ratio of data, the daily general numeral expression form of calendar scheduling, so that show these data.
Generation module 403 generates corresponding described graphic language symbol for the data by after computing, wherein, and different data target type corresponding to graphic language symbol.
When symbolic information is graphic language symbol,, by through extracting the data formation graphic language after union, data are used as to pattern symbol and use, in order to show data type, making data have language can be descriptive.Wherein, different data target type corresponding to graphic language symbol, a graphic language symbol is used for showing a data target.
After graphic language symbol, can carry out graphics logic language combination, thereby whole comprehensive icon is formed: the graphics logic language of " what this index is, what its data type and scope or exact value be. ".As shown in Figure 7, by this graphic language symbol, user can know the content of recognizing that intuitively website UNICOM leads, the page loads the data targets such as duration, page furbishing rate to the graphic language symbol forming.
Preferably, described second acquisition unit 30 is also for data corresponding to the data target of a plurality of types of Real-time Obtaining.
Because data can change along with the variation of time, in data corresponding to data target, also need to carry out Real-time Obtaining, thereby more objectively reflect the dynamic of things.The data that wherein data target of a plurality of types of Real-time Obtaining is corresponding can be within the time period of setting, obtain the data at specific time point place, also can be to obtain a secondary data every predetermined amount of time, for example, in one month, every one minute, obtain data successively, thereby realize the renewal to data.
The described data processing equipment of the embodiment of the present invention also comprises display unit and updating block.
Display unit, for after the described symbolic information of output, shows described graphic language symbol.
After output pattern linguistic notation, graphic language symbol is shown, it shows as shown in Figure 7.Wherein, also comprise the highest data value of aggregation of data that embodies this data target in the graphic language symbol of demonstration, this data value can be from extracting data corresponding to data target.
The data of the data target that described graphic language symbol after updating block shows for real-time update is corresponding.
Due to data acquisition, also there is real-time, therefore, Real-time Obtaining, after data corresponding to data target, extracts the highest comprehensive data value in data target, by real-time being presented on graphic language symbol of this data value, thereby realize the renewal to achievement data.As shown in Figure 7, the connection rate of data target website is 12%, this numerical value can according to Real-time Obtaining to data upgrade.
Preferably, described display unit comprises the 4th acquisition module and adjusting module.
The 4th acquisition module is for obtaining the size of display screen.
When data target is shown, its graphic language symbol is presented on display screen, obtains the size of display screen, and for example, the length and width of display screen etc., so that show the graphic language symbol of data target according to the size of display screen.
Adjusting module is for carrying out accommodation according to the size of described display screen to described graphic language symbol.
After obtaining the size of display screen, the graphic language symbol of data target can be according to the size of display screen, layout and the size of accommodation graphic language symbol, as shown in Figure 8, the layout of graphic language symbol and size are adjusted, accommodation is all made in contact in search in Website availability, the group that stands, navigation channel number and access channel source etc., to adapt to the size of display screen.
According to the embodiment of the present invention, by the size according to display screen, adjust layout and the size of graphic language symbol, make display effect diversity, thereby improved the aesthetic feeling of data, allow user there is joyful reading impression.
The embodiment of the present invention also provides a kind of data processing method.The method operates in data processing.It should be noted that, the data processing equipment that the data processing method of the embodiment of the present invention can provide by the embodiment of the present invention is carried out, the data processing method that the data processing equipment of the embodiment of the present invention also can provide for carrying out the embodiment of the present invention.
Fig. 4 is according to the process flow diagram of the data processing method of first embodiment of the invention.As shown in Figure 4, this data processing method comprises that step is as follows:
Step S101, obtains data target.
Data target can comprise the index that a plurality of data are corresponding, and different data targets reflects different objective facts, and different data target correspondences different achievement datas.
Step S102, classifies to data target, obtains the data target of a plurality of types.
Because the kind of data target is a lot, different data targets reflects different objective facts, after obtaining data target, the data target getting is classified, the data target that data target is divided into a plurality of types, wherein, each type can comprise a plurality of data targets.To the classification of data target, can be that angle based on user is classified to data target, thereby can take user's availability, Comprehensible and legibility be guide, meets the demand of general public users.Wherein, based on user perspective, data target is classified, can be divided into relevant user's data target, the three norms types such as influence power index that cause in the data of relevant calculation machine (or data of internet) index and Information Communication process.In polymorphic type index, by forming the logic of a propagation, this logic is carried out to information division in the intelligible mode of user simultaneously, be divided into the information that is directed to user, be directed to the information of computing machine or internet, be directed to the information of combined influence power.User is behavior promoter the speciality with self, and computing machine and internet are Information Communication passages, comprises the original attribute of computing machine and internet community, and both act on and the virtual society of formation and the influence power of society.
Step S103, obtains respectively the data corresponding to data target of a plurality of types.
After data target is classified, can obtain further the data that all types of data targets are corresponding, because data target is to embody objective fact by data corresponding to data target, for example, average this data target of loading duration for some webpages, need to, by obtaining the duration of loading each time of this webpage, through the data of the loading duration in statistics a period of time, calculate the average loading duration of webpage in this period.
Step S104, the data execution algorithm logical operation to getting, obtains the symbolic information corresponding with the data that get, wherein, different data target type corresponding to symbolic information.
The data of execution algorithm logical operation can be the data that any one data target is corresponding, can be also a plurality of concrete data targets are carried out to computing the symbolic information of the every data target obtaining, different data target type corresponding to symbolic information.Symbolic information can be for reflecting the data value of the core data of different pieces of information index, for example, and the ratio of computational data, number percent or concrete numerical value etc.; Also can be by specific targets for object, analyzing of the algorithm logic of index and corresponding data visualization model, distinctive icon or the pattern of the pre-designed index concept that meets indices obtaining, can also be the symbolic information that icon that the data value of core data of reflection different pieces of information index and indices are corresponding or pattern combine, thereby form graphics logic language.Wherein, graphic language is that thing is converted into language of image, has the image of propagability and reading property, by this image, can understand its corresponding data target.The combination of figure is not that single title is established and aesthetics.Through thering is the combination of the figure of certain logicality, express a logic or a kind of macroscopic description.The content of wherein passing on after figure combination and the logic in content are exactly graphics logic language.
Step S105, output symbol information.
After obtaining the symbolic information that each data target is corresponding, output symbol information.The symbolic information of output can be for showing pointer type and the data message corresponding to this data target of corresponding data target.
According to the embodiment of the present invention, by data target is classified, and obtain respectively the data that all types of data targets are corresponding, by the data execution algorithm logical operation to getting, obtain symbolic information corresponding to data, then export this symbolic information, a large amount of data corresponding to every data target are converted into symbolic information and are convenient to user's understanding and read, solved the lower problem of the readability of data representation in prior art, reached the readable effect that improves data representation.
Fig. 5 is according to the process flow diagram of the data processing method of second embodiment of the invention.The data processing method of this embodiment can be used as a kind of preferred implementation of the data processing method of above-described embodiment.As shown in Figure 5, this data processing method comprises that step is as follows:
Step S201, obtains data target.
Data target can comprise the index that a plurality of data are corresponding, and different data targets reflects different objective facts, and different data target correspondences different achievement datas.
Step S202, classifies to data target, obtains the data target of a plurality of types.The data target of a plurality of types comprises user data index, computer data index and influence power index, wherein, user data index is the data target of user behavior reaction, computer data index is the data target of computing machine behavior reaction, and influence power index is the index of the impact that causes of user data index and computer data index.
Because the kind of data target is a lot, different data targets reflects different objective facts, after obtaining data target, the data target getting is classified, the data target that data target is divided into a plurality of types, wherein, each type can comprise a plurality of data targets.To the classification of data target, can be that angle based on user is classified to data target, thereby can take user's availability, Comprehensible and legibility be guide, meets the demand of general public users.Wherein, based on user perspective, data target is classified, obtain user data index, computer data index and influence power index, user data index can be relevant user's data target, computer data index can make data (or data of the internet) index of relevant calculation machine, and influence power index can make the influence power index causing in Information Communication process.Thereby form classification and the relation of inclusion of comparatively complete user data:
The entire effect power index that the data target of user behavior indicator reaction+computing machine behavior reaction=final virtual world and entity world cause.
For example, using the news item A on internet as an object, public users is when being used internet, can produce certain behavior reflection to news A, in this course, user data index can be to pay close attention to the user's of this news A age, geographic position or the user indexs such as evaluation number of times to news A, computer data index can be news A clicked number of times in internet, the number of times being forwarded or the indexs such as number of times that represent, influence power index can be to have how many people to know news A, how many people are because of indexs such as news A are affected, thereby can access the entire effect power index that news A causes in the network virtual world and real world.
Step S203, obtains user data corresponding to user data index, and user data is the data of user behavior reaction.
User data can be user's age, the data of the reflection such as user's address user basic information, can be also the data of the behavior generation of user's operation, forwarding, issue etc. the consciousness with people.Because these data are when user uses computing machine or internet, have record, so the statistics of these data and obtain and can obtain by computing machine or internet.
Step S204, obtains the corresponding computer data of computer data index, and computer data is the data of computing machine behavior reaction.
Because internet is by realizations such as computer equipments, so the computer data here can be to be carried out the data of processing procedure by computing machine.For example the connection rate of the refreshing frequency of webpage, website is, these data by computing machine processing behavior reaction of loading duration of webpage etc.
Step S205, obtains the corresponding influence power data of influence power index, and influence power data are the data of the influence power that causes in communication process of user data and computer data.
Influence power data can be the data on the impact of the network virtual world and real world that the information such as user data and computer data cause in communication process.
Step S206, the data execution algorithm logical operation to getting, obtains the symbolic information corresponding with the data that get, wherein, different data target type corresponding to symbolic information.
The data of execution algorithm logical operation can be the data that any one data target is corresponding, can be also a plurality of concrete data targets are carried out to computing the symbolic information of the every data target obtaining, different data target type corresponding to symbolic information.Symbolic information can be for reflecting the data value of the core data of different pieces of information index, for example, and the ratio of computational data, number percent or concrete numerical value etc.; Also can be by specific targets for object, analyzing of the algorithm logic of index and corresponding data visualization model, distinctive icon or the pattern of the pre-designed index concept that meets indices obtaining, can also be the symbolic information that icon that the data value of core data of reflection different pieces of information index and indices are corresponding or pattern combine, thereby form graphics logic language.Wherein, graphic language is that thing is converted into language of image, has the image of propagability and reading property, by this image, can understand its corresponding data target.The combination of figure is not that single title is established and aesthetics.Through thering is the combination of the figure of certain logicality, express a logic or a kind of macroscopic description.The content of wherein passing on after figure combination and the logic in content are exactly graphics logic language.
Step S207, output symbol information.
After obtaining the symbolic information that each data target is corresponding, output symbol information.The symbolic information of output can be for showing pointer type and the data message corresponding to this data target of corresponding data target.
According to the embodiment of the present invention, extracted the large data target of reflection object, and be divided into user data index, computer data index, and the large essential part of macroscopic effects power index three, user can be contacted in actual life, can understand, understandable symbolic information is carried out the index simulation of entity, thereby improves readability and the Comprehensible of class data.
Fig. 6 is according to the process flow diagram of the data processing method of third embodiment of the invention.The data processing method of this embodiment can be used as a kind of preferred implementation of the data processing method of above-described embodiment.As shown in Figure 6, this data processing method comprises that step is as follows:
Step S301, obtains data target.
Data target can comprise the index that a plurality of data are corresponding, and different data targets reflects different objective facts, and different data target correspondences different achievement datas.
Step S302, classifies to data target, obtains the data target of a plurality of types.
Because the kind of data target is a lot, different data targets reflects different objective facts, after obtaining data target, the data target getting is classified, the data target that data target is divided into a plurality of types, wherein, each type can comprise a plurality of data targets.To the classification of data target, can be that angle based on user is classified to data target, thereby can take user's availability, Comprehensible and legibility be guide, meets the demand of general public users.Wherein, based on user perspective, data target is classified, can be divided into relevant user's data target, the three norms types such as influence power index that cause in the data of relevant calculation machine (or data of internet) index and Information Communication process.
Step S303, obtains respectively the data corresponding to data target of a plurality of types.
After data target is classified, can obtain further the data that all types of data targets are corresponding, because data target is to embody objective fact by data corresponding to data target, for example, average this data target of loading duration for some webpages, need to, by obtaining the duration of loading each time of this webpage, through the data of the loading duration in statistics a period of time, calculate the average loading duration of webpage in this period.
Step S304, extracts the data of the data target of a plurality of types.
The data of the data target extracting can be the core datas of data target, and this core data is comprehensive higher data in this data target.The core data of sorted a plurality of data targets is extracted, so that these data are processed accordingly.
Step S305, to the data actuating logic computing after extracting.
After the core data of data target that extracts a plurality of types, obtain thering is accordingly comprehensive data value, for example, the ratio of data, the daily general numeral expression form of calendar scheduling, so that show these data.
Step S306, generates corresponding graphic language symbol by the data after computing, wherein, and different data target type corresponding to graphic language symbol.
When symbolic information is graphic language symbol,, by through extracting the data formation graphic language after union, data are used as to pattern symbol and use, in order to show data type, making data have language can be descriptive.Wherein, different data target type corresponding to graphic language symbol, a graphic language symbol is used for showing a data target.
After graphic language symbol, can carry out graphics logic language combination, thereby whole comprehensive icon is formed: the graphics logic language of " what this index is, what its data type and scope or exact value be. ".As shown in Figure 7, by this graphic language symbol, user can know the content of recognizing that intuitively website UNICOM leads, the page loads the data targets such as duration, page furbishing rate to the graphic language symbol forming.
Step S307, output symbol information.
Output symbol information, that is, output pattern linguistic notation, after obtaining each data target graph of a correspondence linguistic notation, output pattern linguistic notation.The graphic language symbol of output can be for showing pointer type and the data message corresponding to this data target of corresponding data target.
According to the embodiment of the present invention, by large data target being divided into user's index, computing machine index and the large essential part of macroscopic effects power index three, and have individual data target formation that user can be contacted in actual life, and can understand, understandable icon carries out the index simulation of entity.The icon forming like this, both for user's thoughtcast, has objectively reacted again the extraction scope of data.Then, take the data value that the aggregation of data of single index is the highest (Ru Tu7Zhong website UNICOM leads, the page load duration, the corresponding data value of page furbishing rate), the different expression way of numeral represents different implications, concrete numerical value for example, ratio, number percent, time expression etc., just need not explain the implication of expression data intuitively, combine with icon, form a kind of graphic language.Wherein, the core data value that graphics logic is this data target is how many.
Preferably, step S303 comprises step S3031:
Step S3031, the data corresponding to data target of a plurality of types of Real-time Obtaining.
Because data can change along with the variation of time, in data corresponding to data target, also need to carry out Real-time Obtaining, thereby more objectively reflect the dynamic of things.The data that wherein data target of a plurality of types of Real-time Obtaining is corresponding can be within the time period of setting, obtain the data at specific time point place, also can be to obtain a secondary data every predetermined amount of time, for example, in one month, every one minute, obtain data successively, thereby realize the renewal to data.
After step S306, this data processing method also comprises step S307 and step S308,
Step S307, display graphics linguistic notation.
After output pattern linguistic notation, graphic language symbol is shown, it shows as shown in Figure 7.Wherein, also comprise the highest data value of aggregation of data that embodies this data target in the graphic language symbol of demonstration, this data value can be from extracting data corresponding to data target.
Step S308, the data of the data target that graphic language symbol after real-time update shows is corresponding.
Due to data acquisition, also there is real-time, therefore, Real-time Obtaining, after data corresponding to data target, extracts the highest comprehensive data value in data target, by real-time being presented on graphic language symbol of this data value, thereby realize the renewal to achievement data.As shown in Figure 8, the connection rate of data target website is 12%, this numerical value can according to Real-time Obtaining to data upgrade.
Preferably, step S307 comprises step S3071 and step S3072:
Step S3071, obtains the size of display screen.
When data target is shown, its graphic language symbol is presented on display screen, obtains the size of display screen, and for example, the length and width of display screen etc., so that show the graphic language symbol of data target according to the size of display screen.
Step S3072, carries out accommodation according to the size of display screen to graphic language symbol.
After obtaining the size of display screen, the graphic language symbol of data target can be according to the size of display screen, layout and the size of accommodation graphic language symbol, as shown in Figure 8, the layout of graphic language symbol and size are adjusted, accommodation is all made in contact in search in Website availability, the group that stands, navigation channel number and access channel source etc., to adapt to the size of display screen.
According to the embodiment of the present invention, by the size according to display screen, adjust layout and the size of graphic language symbol, make display effect diversity, thereby improved the aesthetic feeling of data, allow user there is joyful reading impression.
It should be noted that, in the step shown in the process flow diagram of accompanying drawing, can in the computer system such as one group of computer executable instructions, carry out, and, although there is shown logical order in flow process, but in some cases, can carry out shown or described step with the order being different from herein.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or a plurality of modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (10)

1. a data processing method, is characterized in that, comprising:
Obtain data target;
Described data target is classified, obtain the data target of a plurality of types;
Obtain respectively the data corresponding to data target of described a plurality of types;
Data execution algorithm logical operation to getting, obtains the symbolic information corresponding with the data that get, wherein, and different data target type corresponding to symbolic information; And
Export described symbolic information.
2. data processing method according to claim 1, it is characterized in that, the data target of described a plurality of types comprises user data index, computer data index and influence power index, wherein, described user data index is the data target of user behavior reaction, described computer data index is the data target of computing machine behavior reaction, described influence power index is the index of the impact that causes of described user data index and described computer data index, wherein, data corresponding to data target of obtaining respectively described a plurality of types comprise:
Obtain user data corresponding to described user data index, described user data is the data of user behavior reaction;
Obtain computer data corresponding to described computer data index, described computer data is the data of computing machine behavior reaction; And
Obtain influence power data corresponding to described influence power index, described influence power data are the data of the influence power that causes in communication process of described user data and described computer data.
3. data processing method according to claim 1, is characterized in that, described symbolic information is graphic language symbol, and the data execution algorithm logical operation getting is comprised:
Extract the data of the data target of described a plurality of types;
To the data actuating logic computing after extracting; And
By the data after computing, generate corresponding described graphic language symbol, wherein, different data target type corresponding to graphic language symbol.
4. data processing method according to claim 3, it is characterized in that, data corresponding to data target of obtaining respectively described a plurality of types comprise: the data corresponding to data target of a plurality of types of Real-time Obtaining, wherein, after the described symbolic information of output, described data processing method also comprises:
Show described graphic language symbol; And
The data of the data target that described graphic language symbol after real-time update shows is corresponding.
5. data processing method according to claim 4, is characterized in that, shows that described graphic language symbol comprises:
Obtain the size of display screen; And
According to the size of described display screen, described graphic language symbol is carried out to accommodation.
6. a data processing equipment, is characterized in that, comprising:
The first acquiring unit, for obtaining data target;
Taxon, for described data target is classified, obtains the data target of a plurality of types;
Second acquisition unit, for obtaining respectively the data corresponding to data target of described a plurality of types;
Arithmetic element, the data execution algorithm logical operation for to getting, obtains the symbolic information corresponding with the data that get, wherein, different data target type corresponding to symbolic information; And
Output unit, for exporting described symbolic information.
7. data processing equipment according to claim 6, it is characterized in that, the data target of described a plurality of types comprises user data index, computer data index and influence power index, wherein, described user data index is the data target of user behavior reaction, and described computer data index is the data target of computing machine behavior reaction, and described influence power index is the index of the impact that causes of described user data index and described computer data index, wherein, described second acquisition unit comprises:
The first acquisition module, for obtaining user data corresponding to described user data index, described user data is the data of user behavior reaction;
The second acquisition module, for obtaining computer data corresponding to described computer data index, described computer data is the data of computing machine behavior reaction; And
The 3rd acquisition module, for obtaining influence power data corresponding to described influence power index, described influence power data are the data of the influence power that causes in communication process of described user data and described computer data.
8. data processing equipment according to claim 6, is characterized in that, described symbolic information is graphic language symbol, and described arithmetic element comprises:
Extraction module, for extracting the data of the data target of described a plurality of types;
Computing module, for the data actuating logic computing to after extracting; And
Generation module, generates corresponding described graphic language symbol for the data by after computing, wherein, and different data target type corresponding to graphic language symbol.
9. data processing equipment according to claim 8, is characterized in that, described second acquisition unit is also for data corresponding to the data target of a plurality of types of Real-time Obtaining, and wherein, described data processing equipment also comprises:
Display unit, for after the described symbolic information of output, shows described graphic language symbol; And
Updating block, for the data of data target corresponding to the described graphic language symbol after real-time update demonstration.
10. data processing equipment according to claim 9, is characterized in that, described display unit comprises:
The 4th acquisition module, for obtaining the size of display screen; And
Adjusting module, for carrying out accommodation according to the size of described display screen to described graphic language symbol.
CN201310603682.0A 2013-11-25 2013-11-25 Method and device for processing data Pending CN103605522A (en)

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