CN110046291A - Visualization disassembling method, device and the equipment of achievement data - Google Patents
Visualization disassembling method, device and the equipment of achievement data Download PDFInfo
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Abstract
This specification embodiment provides visualization disassembling method, device and the equipment of a kind of achievement data, in the visualization disassembling method of achievement data, receives dismantling instruction.It is instructed according to dismantling, determines the achievement data to be dismantled having shown that.Obtain dismantling dimension corresponding with achievement data to be dismantled.According to the dismantling dimension, achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- achievement datas.Establish the dependence between achievement data to be dismantled and multiple sub- achievement datas.Show multiple sub- achievement datas and dependence.
Description
Technical field
What this specification one or more embodiment was related to data analysis technique field more particularly to a kind of achievement data can
Depending on changing disassembling method, device and equipment.
Background technique
With the development of information technology, all trades and professions can all generate a large amount of data daily during operation.For reality
Now to the detection of these data, Data Analyst usually has the index much paid close attention to, for example, user volume and trading volume etc..
For above-mentioned each index, usually need to pay close attention to it from multiple dimensions again.For by taking user volume as an example, it usually needs from
City, age and gender etc. dimension pay close attention to it where occupation, user.Therefore, the accurate detection of Yao Shixian data,
It just needs effectively to analyze each index.
Summary of the invention
This specification one or more embodiment describes the visualization disassembling method of achievement data a kind of, device and sets
It is standby, can the dismantling process to achievement data be shown, thus be convenient to user intuitively to achievement data carry out effectively
Analysis.
In a first aspect, providing a kind of visualization disassembling method of achievement data, comprising:
Receive dismantling instruction；
It is instructed according to the dismantling, determines the achievement data to be dismantled having shown that；
Obtain dismantling dimension corresponding with the achievement data to be dismantled；
According to the dismantling dimension, the achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- indexs
Data；
Establish the dependence between the achievement data to be dismantled and the multiple sub- achievement data；
Show the multiple sub- achievement data and the dependence.
Second aspect provides a kind of visualization disassembling apparatus of achievement data, comprising:
Receiving unit, for receiving dismantling instruction；
Determination unit determines the finger to be dismantled having shown that for instructing according to the received dismantling of the receiving unit
Mark data；
Acquiring unit, the corresponding dismantling dimension of the achievement data to be dismantled for obtaining with the determination unit determines
Degree；
Disassemble unit, the dismantling dimension for obtaining according to the acquiring unit, to the achievement data to be dismantled
It is disassembled, to obtain corresponding multiple sub- achievement datas；
Unit is established, is torn open for establishing the achievement data to be dismantled that the determination unit determines with the dismantling unit
The dependence between the multiple sub- achievement data that solution obtains；
Display unit, for showing the multiple sub- achievement data disassembled of dismantling unit and the foundation
The dependence that unit is established.
The third aspect provides a kind of visualization device for disassembling of achievement data, comprising:
Memory；
One or more processors；And
One or more programs wherein the storage of one or more of programs is in the memory, and are configured to
It is executed by one or more of processors, described program performs the steps of when being executed by the processor
Receive dismantling instruction；
It is instructed according to the dismantling, determines the achievement data to be dismantled having shown that；
Obtain dismantling dimension corresponding with the achievement data to be dismantled；
According to the dismantling dimension, the achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- indexs
Data；
Establish the dependence between the achievement data to be dismantled and the multiple sub- achievement data；
Show the multiple sub- achievement data and the dependence.
Visualization disassembling method, device and the equipment for the achievement data that this specification one or more embodiment provides, connect
Receive dismantling instruction.It is instructed according to dismantling, determines the achievement data to be dismantled having shown that.It obtains corresponding with achievement data to be dismantled
Disassemble dimension.According to the dismantling dimension, achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- achievement datas.
Establish the dependence between achievement data to be dismantled and multiple sub- achievement datas.It shows multiple sub- achievement datas and relies on and close
System.It can thus be seen that between the sub- achievement data that the scheme that this specification provides can obtain achievement data and dismantling
Dependence be shown, effectively analyzed so as to be convenient to user to achievement data.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of this specification embodiment, will make below to required in embodiment description
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some embodiments of this specification, right
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Its attached drawing.
Fig. 1 is the achievement data disassembly system schematic diagram that this specification provides；
Fig. 2 is that the Long-term change trend diagram for the sub- achievement data that this specification provides is intended to；
Fig. 3 is the tree-shaped structural representation that this specification provides；
Fig. 4 is the visualization disassembling method flow chart for the achievement data that this specification one embodiment provides；
Fig. 5 is the visualization disassembling apparatus schematic diagram for the achievement data that this specification one embodiment provides；
Fig. 6 is the visualization device for disassembling schematic diagram for the achievement data that this specification one embodiment provides.
Specific embodiment
With reference to the accompanying drawing, the scheme provided this specification is described.
The visualization disassembling method for the achievement data that this specification one or more embodiment provides can be applied to such as Fig. 1
Shown in achievement data disassembly system.In Fig. 1, which may include two regions: parameter setting region and display area.
By parameter setting region, system can receive the parameter setting instruction of user.Specifically, can by with " day
Instruction is arranged in the date that phase " corresponding drop-down list box receives user.It is arranged according to the date and is instructed, can determines finger to be analyzed
The current statistic period of target achievement data, e.g., " on June 17th, 2017 ".Here achievement data is referred to as in index
Appearance or index value, usually correspondingly change with the difference in current statistic period.System can also by with " state
The corresponding drop-down list box of family " receives country's setting instruction.All Countries are typically referred to by default.In addition, passing through ginseng
Number setting area, system can also receive the setting instruction for showing and showing content and time comparison dimension between index, node.This
In displaying index refer to index to be analyzed.In Fig. 1, index to be analyzed may include " index one ", " index two " or " refer to
Mark three ".Show that content may include " conversion ratio " and " contribution degree " between node.Here conversion ratio or contribution degree can refer to
The value of present node for the value of father node, may also mean that the value of present node for the value of root node, specifically
Select which kind of way of contrast can be with flexible configuration.It should be noted that since the calculation method of conversion ratio and contribution degree is tradition
Routine techniques does not repeat again herein.Dimension is compared for the time, shows two kinds in Fig. 1: " week is on year-on-year basis " and " day ring ratio "." week
Refer on year-on-year basis " and the value in current statistic period is compared with upper one week synperiodic value, " day ring ratio " refers to current statistic
The value in period is compared with the value of a upper measurement period.Finally, by parameter setting region, system can also receive sub- index
The setting of the collating sequence of data (i.e. the multiple child nodes of same layer) instructs.The collating sequence for example may include: " by sub- index
Data are from big to small ", " by sub- achievement data from small to large ", " by conversion ratio from big to small ", " by conversion ratio from small to large ",
" from big to small by contribution degree " and " from small to large by contribution degree " etc..
In display area, system can show the dismantling in the achievement data of the index to be analyzed of current statistic period statistics
Process.The content being arranged according to parameter setting region as above, that is, current statistic period are as follows: " on June 17th, 2017 ", wait divide
Analyse index are as follows: " index one ", display area can show on June 17th, 2017 statistics index one achievement data dismantling
Process.In Fig. 1, which, which specifically can be through tree, is shown.Specifically, when initial, display area
It can show that the first-level nodes (also referred to as root node) of tree, the value of the root node may include index one and index one
Achievement data.In addition, the value of the root node can also include upper when parameter setting region is also provided with time comparison dimension
State amplitude of variation of the achievement data (corresponding with the current statistic period) relative to the achievement data of comparison period (subsequent explanation).
It later, can be based on preconfigured and root section when receiving the click commands of user couple the "+" button corresponding with root node
The corresponding dismantling dimension of point, disassembles These parameters data, to obtain multiple sub- achievement datas.Here dismantling dimension
It can be following any: province, type of service, occupation, gender and age etc..For each dismantling dimension, usually
Multiple dimension values can be corresponded to.To disassemble dimension are as follows: for for province, can there is 23 dimension values, wherein each dimension values
A corresponding province title.Again to disassemble dimension are as follows: for for gender, male and female can be respectively as follows: by 2 dimension values.
It should be noted that the number of above-mentioned sub- achievement data can be determined based on the number of dimension values.Such as, when dismantling dimension are as follows: save
When part, then 23 sub- achievement datas can be disassembled out.
In Fig. 1, each sub- achievement data disassembled can be shown by the second node layer of tree.Specifically
Ground, can be using each sub- achievement data as the value of each second node layer.Certainly, the value of second node layer can also include
The sub- achievement data of corresponding dimension values and the sub- achievement data (corresponding with the current statistic period) relative to the comparison period
Amplitude of variation.In addition, when showing content between parameter setting region is also provided with node, in the first-level nodes and second layer section
The peripheral position of the connecting line of point can also show conversion ratio or contribution degree between node.Using the first-level nodes as node A, the
Two node layers be node B for for, can be with other than showing node B relative to the conversion ratio or contribution degree of node A
Show the conversion ratio or contribution degree relative to comparison the period node B relative to the conversion ratio of node A or the change of contribution degree
Change amplitude.
It should be noted that may include ascensional range and fall for above-mentioned amplitude of variation.For upper increasing degree
Degree can be shown by the first displaying pattern.For fall, can be shown by the second displaying pattern, by
This user can intuitively understand the situation of change of data.In addition it is also possible to show the variation tendency of conversion ratio or contribution degree
Etc..
In Fig. 1, for each node of tree, the click commands of user can be received.Such as, when receiving user
When to the click commands of the 5th node in the second node layer, interface as shown in Figure 2 can be popped up.In Fig. 2, become with trend
The form of change figure illustrates corresponding with the node, each date in measurement period sub- achievement data.The Long-term change trend figure
Abscissa be the current statistic period in each date, ordinate be corresponding sub- achievement data of each date.Specifically, when
Receive user on curve in Fig. 2 some put click commands when, can show the information such as transverse and longitudinal coordinate corresponding to this point.
It such as, can be with the current statistic period of 2 the top of display diagram, the change of sub- achievement data, all year-on-year amplitude of variation and day ring ratio
The information such as change amplitude.
It should be noted that being less than preset number of days in the current statistic period in order to which the Long-term change trend figure is more accurately presented
When (e.g., 60 days), the sub- achievement data on each date in preset number of days can be counted, which includes current statistic week
Phase, and the sub- achievement data based on the date each in preset number of days generates the Long-term change trend figure.
In addition, correspondingly early-warning conditions can also be arranged for each node, when corresponding sub- achievement data meets
When the early-warning conditions, special displaying is carried out to the node.For example, it is saved when with the first of the second layer node and third
When the corresponding sub- achievement data of point meets early-warning conditions, the displaying patterns of the first-level nodes and the second node layer in Fig. 1 can be with
As shown in Figure 3.In Fig. 3, first node and third node of the above-mentioned second layer have carried out highlighted displaying.Further, it is also possible to
The abnormal cause of the sub- achievement data is correspondingly illustrated by way of annotation.
It returns in Fig. 1, when receiving the click commands of user couple "-" button corresponding with some node, so that it may
Pack up all nodes of its lower layer.
For the node of the second layer, corresponding sub- achievement data can equally be disassembled.It disassembles process and displaying
Content is same as above, does not repeat again herein.
It should be noted that, for different nodes, corresponding dismantling dimension can be different in Fig. 1, so as to
The lower brill that single index (e.g., These parameters one) are carried out with different dimensions is realized, it is possible thereby to realize to the accurate of achievement data
And it effectively analyzes.
It should be understood that the achievement data disassembly system that this specification provides is not limited to content shown in FIG. 1.In practical application
In, show that the number of index can also be more than 3.In addition, time comparison dimension can also be corresponding according to the selected date
Variation.Such as, when the selected date is period (e.g., on January 3, -2018 years on the 1st January in 2018), the time compares dimension
" year-on-year " and " ring ratio " etc. can be replaced with accordingly.
It is the description to achievement data disassembly system above, the visualization of achievement data will be disassembled based on the system below
Method is described in detail.
Fig. 4 is the visualization disassembling method flow chart for the achievement data that this specification one embodiment provides.The method
Executing subject can be the achievement data disassembly system in Fig. 1.As shown in figure 4, the method can specifically include following step
It is rapid:
Step 402, dismantling instruction is received.
Dismantling instruction can be by user click in Fig. 1 "+" corresponding with the first-level nodes or the second node layer by
Button triggering.It is understood that corresponding the "+" button becomes accordingly when the lower level node of some node is unfolded
"-" button.
Step 404, it is instructed according to dismantling, determines the achievement data to be dismantled having shown that.
For by taking Fig. 1 as an example, when dismantling instruction is to click "+" corresponding with the first-level nodes (i.e. root node) by user
When button triggers, the achievement data of index one is determined as achievement data to be dismantled.When dismantling instruction is clicked and the by user
When the corresponding the "+" button of some node triggers in two node layers, sub- achievement data corresponding with the node is determined as finger to be dismantled
Mark data.
Step 406, dismantling dimension corresponding with achievement data to be dismantled is obtained.
In the present specification, different achievement data to be dismantled, can be corresponding from different dismantling dimensions.Citing comes
It says, when achievement data to be dismantled is the achievement data of index one, dismantling dimension can be with are as follows: province.When index number to be dismantled
When according to for certain sub- achievement data, dismantling dimension can be with are as follows: thus occupation etc. can realize the difference for treating analysis indexes
The dismantling of dimension.
Step 408, according to dismantling dimension, achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- indexs
Data.
As described above, each dismantling dimension can correspond to multiple dimension values.Based on multiple dimension values, so that it may obtain more
A sub- achievement data.Therefore, in the present specification, it can be one-to-one relationship between dimension values and sub- achievement data.
Step 410, the dependence between achievement data to be dismantled and multiple sub- achievement datas is established.
In one implementation, achievement data to be dismantled and multiple sub- achievement datas can be established based on tree
Between dependence.It specifically, can be using achievement data to be dismantled as the value of the father node of tree, and by multiple sons
Achievement data establishes the dependence as the value of multiple child nodes of tree.
In another implementation, above-mentioned dependence can also be established based on star ring figure, method for building up is similar,
Therefore not to repeat here.
Step 412, multiple sub- achievement data and dependence are shown.
When based on tree to establish above-mentioned dependence, the achievement data of index one is repeatedly being disassembled it
Afterwards, the dependence and each sub- achievement data established can be as shown in figure 1 shown in display areas.
Optionally, this method can also include the following steps: that acquisition time compares dimension.According to the time compare dimension and
The current statistic period determines the comparison period.As an example it is assumed that the current statistic period are as follows: " on June 17th, 2017 ", and time
Compare dimension are as follows: " week is on year-on-year basis ", then, compare the period are as follows: " on June 10th, 2017 ".After determining the comparison period, for
Above-mentioned father node can be counted in comparison period, the corresponding achievement data to be dismantled of the father node.It will be in comparison period statistics
Achievement data to be dismantled is compared with the achievement data to be dismantled counted in the current statistic period, is become with determination corresponding first
Change amplitude.Show first amplitude of variation.In one example, it can be carried out first amplitude of variation as the value of father node
It shows.
Similarly, to each child node in child nodes multiple in tree, statistics is in comparison period, the child node pair
The sub- achievement data answered.By comparison the period statistics sub- achievement data with the current statistic period statistics sub- achievement data into
Row compares, with corresponding second amplitude of variation of determination.Show second amplitude of variation.In one example, can by this second
Amplitude of variation is shown as the value of child node.
For above-mentioned first amplitude of variation or the second amplitude of variation, by taking the displaying of the first amplitude of variation as an example for,
In a kind of implementation, it can first determine that first amplitude of variation refers to ascensional range or fall.If it is upper increasing degree
Degree then can show that pattern shows above-mentioned first amplitude of variation by first.If it is fall, then it can pass through the second exhibition
Sample formula shows above-mentioned first amplitude of variation.In one example, above-mentioned first displaying pattern and the second displaying pattern can be
Refer to two different colors.In another example, above-mentioned first displaying pattern can be finger before the first amplitude of variation
Perhaps below plus the above-mentioned second displaying pattern of upward arrow can be finger before the first amplitude of variation or after
Face adds downward arrow.In other implementations, above-mentioned rising can also be shown by identical displaying pattern
Amplitude and fall.
It should also be noted that, when showing " conversion ratio " or " tribute in content between the node in parameter setting region in Fig. 1
When degree of offering " is selected, to each child node in multiple child nodes of tree, it can also obtain in the current statistic period,
First contribution degree of the corresponding sub- achievement data of child node achievement data to be dismantled corresponding to father node or the first conversion
Rate.Show the first contribution degree corresponding with each child node or the first conversion ratio.In one implementation, it can be saved in father
Point the first contribution degree corresponding with the displaying of the peripheral position of the connecting line of each child node or one conversion ratio.
Further, it is also possible to obtain in the comparison period, the corresponding sub- achievement data of the child node is corresponding to father node wait tear open
Solve the second contribution degree or the second conversion ratio of achievement data.Second contribution degree is compared with the first contribution degree, with determination
The amplitude of variation of contribution degree；Alternatively, the second conversion ratio is compared with the first conversion ratio, to determine the variation width of conversion ratio
Degree.The amplitude of variation or the first conversion ratio and conversion of displaying the first contribution degree corresponding with each child node and contribution degree
The amplitude of variation of rate.Such as aforementioned implementation, the amplitude of variation of the first contribution degree here and contribution degree (or the first conversion
The contribution degree of rate and conversion ratio) two sides of connecting line in father node Yu each child node can be shown respectively.
Here, the displaying pattern of the amplitude of variation of the amplitude of variation or conversion ratio of contribution degree can be the same as above-mentioned first variation
The displaying pattern of amplitude is similar, does not repeat again herein.
Secondly, the first operational order to the father node can also be received for above-mentioned father node.Such as, click commands.It rings
Corresponding with the father node, each date in the current statistical cycle index should can be counted in first operational order
Data.Based on the achievement data on each date, achievement data Long-term change trend figure is generated.Show the achievement data Long-term change trend figure.
It is of course also possible to receive the second operational order to child node any in multiple child nodes.Such as, click commands.In response to this
Two operational orders count corresponding with any child node, each date in the current statistical cycle sub- achievement data.It is based on
The sub- achievement data on each date generates sub- achievement data Long-term change trend figure.Show the sub- achievement data Long-term change trend figure.
It should be noted that being less than default day in the current statistic period in order to which above-mentioned Long-term change trend figure is more accurately presented
When number (e.g., 60 days), the achievement data on each date or sub- achievement data in preset number of days can be counted, and based on pre-
If the achievement data on each date or sub- achievement data generate above-mentioned Long-term change trend figure in number of days.In one example, it generates
Sub- achievement data Long-term change trend figure can be as shown in Figure 2.Explanation about Fig. 2 can be found in above, not repeat again herein.
Finally, the ordering rule of multiple sub- achievement datas can also be obtained.Such as, " from big to small by sub- achievement data ", " press
Sub- achievement data is from small to large ", " by conversion ratio from big to small ", " by conversion ratio from small to large ", " by contribution degree from big to small "
And " from small to large by contribution degree " etc..According to ordering rule, multiple sub- achievement datas are ranked up.It is more after showing sequence
A sub- achievement data.For by taking tree as an example, multiple sub- achievement datas after above-mentioned displaying sequence may include: according to row
Multiple sub- achievement datas after sequence show corresponding multiple child nodes.
In addition, analysis in user to achievement data for convenience, the scheme of the offer of this specification embodiment can be with
For each node, corresponding early-warning conditions are set.For by taking sub- achievement data as an example, when dismantling obtains certain sub- achievement data
Later, it can be determined that whether the sub- achievement data meets preset early-warning conditions, if it is satisfied, then special displaying sub- index number
According to.For by taking tree as an example, special corresponding node can be shown.In one example, the mode of the special displaying can
With as shown in Figure 3.Explanation about Fig. 3 can be found in above, not repeat again herein.
To sum up, the visualization disassembling method for the achievement data that this specification embodiment provides, can be by being successively unfolded
Interactive mode, the well-bedded process for showing index dismantling.Further, it is also possible to show the contribution degree or conversion ratio of quantization,
This, which is convenient to user, treats analysis indexes and is intuitively analyzed.Finally, can be based on for each node in tree
Different dismantling dimensions disassemble it, it is possible thereby to the different dimensions dismantling of index to be analyzed be realized, to help to use
Family is effectively analyzed by achievement data.
Accordingly with the visualization disassembling methods of These parameters data, a kind of index that this specification one embodiment provides
The visualization disassembling apparatus of data, as shown in figure 5, the apparatus may include:
Receiving unit 502, for receiving dismantling instruction.
Determination unit 504 determines the index to be dismantled having shown that for instructing according to the received dismantling of receiving unit 502
Data.
Acquiring unit 506, for obtaining dismantling dimension corresponding with the determining achievement data to be dismantled of determination unit 504.
Unit 508 is disassembled, the dismantling dimension for obtaining according to acquiring unit 506 tears achievement data to be dismantled open
Solution, to obtain corresponding multiple sub- achievement datas.
Unit 510 is established, for establishing the achievement data to be dismantled and the dismantling dismantling of unit 508 that determination unit 504 determines
The obtained dependence between multiple sub- achievement datas.
Establishing unit 510 specifically can be used for:
The dependence between achievement data to be dismantled and multiple sub- achievement datas is established based on tree.
The dependence between achievement data to be dismantled and multiple sub- achievement datas is established based on tree, comprising:
Using achievement data to be dismantled as the value of the father node of tree, and using multiple sub- achievement datas as the multiple of tree
The value of child node establishes dependence.
Display unit 512 disassembles the multiple sub- achievement datas and establish unit that the dismantling of unit 508 obtains for showing
510 dependences established.
Optionally, acquiring unit 506 are also used to obtain in current statistic week each child node in multiple child nodes
Phase, the first contribution degree of the corresponding sub- achievement data of child node achievement data to be dismantled corresponding to father node or the first conversion
Rate.
Display unit 512, be also used to show acquiring unit 506 obtain the first contribution degree corresponding with each child node or
The first conversion ratio of person.
Display unit 512 specifically can be used for:
Turn in father node the first contribution degree corresponding with the displaying of the peripheral position of the connecting line of each child node or one
Rate.
Optionally, which can also include: the first comparing unit 514.
Acquiring unit 506 is also used to acquisition time comparison dimension.
Determination unit 504, the time comparison dimension for being also used to be obtained according to acquiring unit 506 and current statistic period,
Determine the comparison period.
Acquiring unit 506 is also used to obtain the comparison period determined in determination unit 504, the corresponding sub- index of child node
The second contribution degree or the second conversion ratio of data achievement data to be dismantled corresponding to father node.
First comparing unit 514, the second contribution degree for will acquire the acquisition of unit 506 are compared with the first contribution degree
It is right, to determine the transformation amplitude of contribution degree.Alternatively, will acquire the second conversion ratio and the progress of the first conversion ratio of the acquisition of unit 506
It compares, to determine the amplitude of variation of conversion ratio.
Display unit 512 specifically can be used for:
Show amplitude of variation or the first conversion ratio of corresponding with each child node the first contribution degree and contribution degree with
And the amplitude of variation of conversion ratio.
Optionally, which can also include: statistic unit 516 and the second comparing unit 518.
Acquiring unit 506 is also used to acquisition time comparison dimension.
Determination unit 504, the time comparison dimension for being also used to be obtained according to acquiring unit 506 and current statistic period,
Determine the comparison period.
Statistic unit 516, for father node, statistics to be in comparison period, the corresponding achievement data to be dismantled of father node.
Second comparing unit 518, for by statistic unit 516 comparison the period statistics achievement data to be dismantled with working as
The achievement data to be dismantled of preceding measurement period statistics is compared, with corresponding first amplitude of variation of determination.
Display unit 512 is also used to show the first amplitude of variation.
Statistic unit 516 is also used to each child node in multiple child nodes, and statistics is in comparison period, child node pair
The sub- achievement data answered.
Second comparing unit 518, be also used to by statistic unit 516 comparison the period statistics sub- achievement data with current
The sub- achievement data of measurement period statistics is compared, with corresponding second amplitude of variation of determination.
Display unit 512 is also used to show the second amplitude of variation.
Optionally, above-mentioned first amplitude of variation may include: increasing degree and fall.
Show that single 512 yuan are specifically used for:
If the first amplitude of variation is increasing degree, show that pattern shows the first amplitude of variation by first.
If the first amplitude of variation is fall, show that pattern shows the first amplitude of variation by second.
Second amplitude of variation includes: increasing degree and fall.
Display unit 512 also particularly useful for:
If the second amplitude of variation is increasing degree, show that pattern shows the second amplitude of variation by first.
If the second amplitude of variation is fall, show that pattern shows the second amplitude of variation by second.
Optionally, which can also include: third statistic unit 520 and generation unit 522.
Receiving unit 502 is also used to receive the first operational order to father node.
Third statistic unit 520, for counting the finger of, each date in the current statistical cycle corresponding with father node
Mark data.
Generation unit 522, the achievement data on each date for being counted based on third statistic unit 520 generate index
Data trend variation diagram.
Display unit 512 is also used to show achievement data Long-term change trend figure.And/or
Receiving unit 502 is also used to receive the second operational order to child node any in multiple child nodes.
Third statistic unit 520, for counting each date corresponding with any child node, in the current statistical cycle
Sub- achievement data.
Generation unit 522, the sub- achievement data on each date for being counted based on third statistic unit 520 generate son
Achievement data Long-term change trend figure.
Display unit 512 is also used to show sub- achievement data Long-term change trend figure.
Optionally, which can also include: sequencing unit 524.
Acquiring unit 506 is also used to obtain the ordering rule of sub- achievement data.
Sequencing unit 524, the ordering rule for being obtained according to acquiring unit 506, arranges multiple sub- achievement datas
Sequence.
Display unit 512 specifically can be used for:
Multiple sub- achievement datas after showing sequence.
Optionally, which can also include: judging unit 526.
Judging unit 526, for judging whether each sub- achievement data meets preset early-warning conditions.
Display unit 512 is also used to if it is determined that unit 526 judges that any sub- achievement data meets preset early warning item
Part, then it is special to show any sub- achievement data.
The function of each functional module of this specification above-described embodiment device can pass through each step of above method embodiment
Rapid to realize, therefore, the specific work process for the device that this specification one embodiment provides does not repeat again herein.
The visualization disassembling apparatus for the achievement data that this specification one embodiment provides, receiving unit 502 receive dismantling
Instruction.Determination unit 504 is instructed according to dismantling, determines the achievement data to be dismantled having shown that.Acquiring unit 506 obtain with wait tear open
Solve the corresponding dismantling dimension of achievement data.Unit 508 is disassembled according to the dismantling dimension of acquisition, achievement data to be dismantled is torn open
Solution, to obtain corresponding multiple sub- achievement datas.Establish unit 510 establish achievement data to be dismantled and multiple sub- achievement datas it
Between dependence.Display unit 512 shows multiple sub- achievement datas and dependence.Thus, it is possible to achievement data
Dismantling process is showed, and is effectively analyzed to be convenient to user achievement data.
The visualization disassembling apparatus for the achievement data that this specification one embodiment provides can be torn open for achievement data in Fig. 1
A module or unit for solution system.
Accordingly with the visualization disassembling methods of These parameters data, this specification embodiment additionally provides a kind of index number
According to visualization device for disassembling, as shown in fig. 6, the equipment may include: memory 602, one or more processors 604 and
One or more programs.Wherein, which stores in the memory 602, and is configured to by one or more
A processor 604 executes, which performs the steps of when being executed by processor 604
Receive dismantling instruction.
It is instructed according to dismantling, determines the achievement data to be dismantled having shown that.
Obtain dismantling dimension corresponding with achievement data to be dismantled.
According to dismantling dimension, achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- achievement datas.
Establish the dependence between achievement data to be dismantled and multiple sub- achievement datas.
Show multiple sub- achievement datas and dependence.
The visualization device for disassembling for the achievement data that this specification one embodiment provides, can be to the dismantling of achievement data
Process is showed, and is effectively analyzed to be convenient to user achievement data.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for equipment reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The step of method in conjunction with described in this disclosure content or algorithm can realize in a manner of hardware,
It can be and the mode of software instruction is executed by processor to realize.Software instruction can be made of corresponding software module, software
Module can be stored on RAM memory, flash memory, ROM memory, eprom memory, eeprom memory, register, hard
Disk, mobile hard disk, CD-ROM or any other form well known in the art storage medium in.A kind of illustrative storage Jie
Matter is coupled to processor, to enable a processor to from the read information, and information can be written to the storage medium.
Certainly, storage medium is also possible to the component part of processor.Pocessor and storage media can be located in ASIC.In addition, should
ASIC can be located in server.Certainly, pocessor and storage media can also be used as discrete assembly and be present in server.
Those skilled in the art are it will be appreciated that in said one or multiple examples, function described in the invention
It can be realized with hardware, software, firmware or their any combination.It when implemented in software, can be by these functions
Storage in computer-readable medium or as on computer-readable medium one or more instructions or code transmitted.
Computer-readable medium includes computer storage media and communication media, and wherein communication media includes convenient for from a place to another
Any medium of one place transmission computer program.Storage medium can be general or specialized computer can access it is any
Usable medium.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
Above-described specific embodiment has carried out into one the purpose of this specification, technical scheme and beneficial effects
Step is described in detail, it should be understood that being not used to limit this foregoing is merely the specific embodiment of this specification
The protection scope of specification, all any modifications on the basis of the technical solution of this specification, made, change equivalent replacement
Into etc., it should all include within the protection scope of this specification.
Claims (21)
1. a kind of visualization disassembling method of achievement data, comprising:
Receive dismantling instruction；
It is instructed according to the dismantling, determines the achievement data to be dismantled having shown that；
Obtain dismantling dimension corresponding with the achievement data to be dismantled；
According to the dismantling dimension, the achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- achievement datas；
Establish the dependence between the achievement data to be dismantled and the multiple sub- achievement data；
Show the multiple sub- achievement data and the dependence.
2. according to the method described in claim 1, described establish the achievement data to be dismantled and the multiple sub- achievement data
Between dependence, comprising:
The dependence between the achievement data to be dismantled and the multiple sub- achievement data is established based on tree；
The dependence established between the achievement data to be dismantled and the multiple sub- achievement data based on tree is closed
System, comprising:
Using the achievement data to be dismantled as the value of the father node of the tree, and the multiple sub- achievement data is made
The dependence is established for the values of multiple child nodes of the tree.
3. according to the method described in claim 2, further include:
It to each child node in the multiple child node, obtains in the current statistic period, the corresponding sub- index of the child node
The first contribution degree or the first conversion ratio of data achievement data to be dismantled corresponding to the father node；
Show the first contribution degree corresponding with each child node or the first conversion ratio.
4. according to the method described in claim 3, described show the first contribution degree corresponding with each child node or first turn
Rate, comprising:
In the father node the first contribution degree corresponding with the displaying of the peripheral position of the connecting line of each child node or first
Person's conversion ratio.
5. the method according to claim 3 or 4, further includes:
Acquisition time compares dimension；
Dimension and the current statistic period are compared according to the time, determines the comparison period；
It obtains in the comparison period, the corresponding sub- achievement data of child node index to be dismantled corresponding to the father node
The second contribution degree or the second conversion ratio of data；
Second contribution degree is compared with first contribution degree, to determine the transformation amplitude of contribution degree；Alternatively, by institute
It states the second conversion ratio to be compared with first conversion ratio, to determine the amplitude of variation of conversion ratio；
It is described to show the first contribution degree corresponding with each child node or the first conversion ratio, comprising:
Show corresponding with each child node the first contribution degree and contribution degree amplitude of variation or the first conversion ratio and turn
The amplitude of variation of rate.
6. according to the method described in claim 2, further include:
Acquisition time compares dimension；
Dimension and current statistic period are compared according to the time, determines the comparison period；
To the father node, statistics is in the comparison period, the corresponding achievement data to be dismantled of the father node；It will be described right
Than the period, the achievement data to be dismantled of statistics is compared with the achievement data to be dismantled counted in the current statistic period, with
Determine corresponding first amplitude of variation；Show first amplitude of variation；
To each child node in the multiple child node, statistics is in the comparison period, the corresponding sub- index of the child node
Data；Sub- achievement data in the comparison period statistics is carried out with the sub- achievement data in current statistic period statistics
It compares, with corresponding second amplitude of variation of determination；Show second amplitude of variation.
7. according to the method described in claim 6,
First amplitude of variation includes: increasing degree and fall；
It is described to show first amplitude of variation, comprising:
If first amplitude of variation is increasing degree, show that pattern shows first amplitude of variation by first；
If first amplitude of variation is fall, show that pattern shows first amplitude of variation by second；
Second amplitude of variation includes: increasing degree and fall；
It is described to show second amplitude of variation, comprising:
If second amplitude of variation is increasing degree, show that pattern shows second amplitude of variation by described first；
If second amplitude of variation is fall, show that pattern shows second amplitude of variation by described second.
8. according to the method described in claim 2, further include:
Receive the first operational order to the father node；
Count corresponding with the father node, each date in the current statistical cycle achievement data；
Based on the achievement data on each date, achievement data Long-term change trend figure is generated；
Show the achievement data Long-term change trend figure；And/or
Receive the second operational order to any child node in the multiple child node；
Count corresponding with any child node, each date in the current statistical cycle sub- achievement data；
Based on the sub- achievement data on each date, sub- achievement data Long-term change trend figure is generated；
Show the sub- achievement data Long-term change trend figure.
9. according to the method described in claim 1, further include:
Obtain the ordering rule of sub- achievement data；
According to the ordering rule, the multiple sub- achievement data is ranked up；
It is described to show the multiple sub- achievement data, comprising:
Multiple sub- achievement datas after showing sequence.
10. according to the method described in claim 1, further include:
Judge whether each sub- achievement data meets preset early-warning conditions；
If any sub- achievement data meets the preset early-warning conditions, special to show any sub- achievement data.
11. a kind of visualization disassembling apparatus of achievement data, comprising:
Receiving unit, for receiving dismantling instruction；
Determination unit determines the index number to be dismantled having shown that for instructing according to the received dismantling of the receiving unit
According to；
Acquiring unit, the corresponding dismantling dimension of the achievement data to be dismantled for obtaining with the determination unit determines；
Unit is disassembled, the dismantling dimension for obtaining according to the acquiring unit carries out the achievement data to be dismantled
Dismantling, to obtain corresponding multiple sub- achievement datas；
Unit is established, for establishing the achievement data to be dismantled that the determination unit determines and the unit of disassembling
The dependence between the multiple sub- achievement data arrived；
Display unit, for showing the multiple sub- achievement data disassembled of dismantling unit and described establishing unit
The dependence established.
12. device according to claim 11, the unit of establishing is specifically used for:
The dependence between the achievement data to be dismantled and the multiple sub- achievement data is established based on tree；
The dependence established between the achievement data to be dismantled and the multiple sub- achievement data based on tree is closed
System, comprising:
Using the achievement data to be dismantled as the value of the father node of the tree, and the multiple sub- achievement data is made
The dependence is established for the values of multiple child nodes of the tree.
13. device according to claim 12,
The acquiring unit, is also used to each child node in the multiple child node, obtains in the current statistic period, described
First contribution degree of the corresponding sub- achievement data of child node achievement data to be dismantled corresponding to the father node or first turn
Rate；
The display unit, be also used to show the first contribution degree corresponding with each child node that the acquiring unit obtains or
First conversion ratio.
14. device according to claim 13, the display unit is specifically used for:
In the father node the first contribution degree corresponding with the displaying of the peripheral position of the connecting line of each child node or first
Person's conversion ratio.
15. device described in 3 or 14 according to claim 1, further includes: the first comparing unit；
The acquiring unit is also used to acquisition time comparison dimension；
The determination unit, the time comparison dimension for being also used to be obtained according to the acquiring unit and the current statistic
Period determines the comparison period；
The acquiring unit, is also used to obtain the comparison period determined in the determination unit, and the child node is corresponding
The second contribution degree or the second conversion ratio of sub- achievement data achievement data to be dismantled corresponding to the father node；
First comparing unit, second contribution degree for obtaining the acquiring unit and first contribution degree into
Row compares, to determine the transformation amplitude of contribution degree；Alternatively, second conversion ratio that the acquiring unit is obtained and described the
One conversion ratio is compared, to determine the amplitude of variation of conversion ratio；
The display unit is specifically used for:
Show corresponding with each child node the first contribution degree and contribution degree amplitude of variation or the first conversion ratio and turn
The amplitude of variation of rate.
16. device according to claim 12, further includes: statistic unit and the second comparing unit；
The acquiring unit is also used to acquisition time comparison dimension；
The determination unit, the time comparison dimension for being also used to be obtained according to the acquiring unit and current statistic week
Phase determines the comparison period；
The statistic unit, for the father node, statistics is in the comparison period, the corresponding finger to be dismantled of the father node
Mark data；
Second comparing unit, for by the statistic unit it is described comparison the period statistics achievement data to be dismantled with
The achievement data to be dismantled of the current statistic period statistics is compared, with corresponding first amplitude of variation of determination；
The display unit is also used to show first amplitude of variation；
The statistic unit is also used to each child node in the multiple child node, and statistics is described in the comparison period
The corresponding sub- achievement data of child node；
Second comparing unit is also used to the statistic unit in the sub- achievement data of the comparison period statistics and in institute
The sub- achievement data for stating current statistic period statistics is compared, with corresponding second amplitude of variation of determination；
The display unit is also used to show second amplitude of variation.
17. device according to claim 16,
First amplitude of variation includes: increasing degree and fall；
The display unit is specifically used for:
If first amplitude of variation is increasing degree, show that pattern shows first amplitude of variation by first；
If first amplitude of variation is fall, show that pattern shows first amplitude of variation by second；
Second amplitude of variation includes: increasing degree and fall；
The display unit also particularly useful for:
If second amplitude of variation is increasing degree, show that pattern shows second amplitude of variation by described first；
If second amplitude of variation is fall, show that pattern shows second amplitude of variation by described second.
18. device according to claim 12, further includes: third statistic unit and generation unit；
The receiving unit is also used to receive the first operational order to the father node；
The third statistic unit, it is corresponding with the father node, each date in the current statistical cycle for counting
Achievement data；
The generation unit, the achievement data on each date for being counted based on the third statistic unit, generation are referred to
Mark data trend variation diagram；
The display unit is also used to show the achievement data Long-term change trend figure；And/or
The receiving unit is also used to receive the second operational order to child node any in the multiple child node；
The third statistic unit, for counting each day corresponding with any child node, in the current statistical cycle
The sub- achievement data of phase；
The generation unit, the sub- achievement data on each date for being counted based on the third statistic unit are generated
Sub- achievement data Long-term change trend figure；
The display unit is also used to show the sub- achievement data Long-term change trend figure.
19. device according to claim 11, further includes: sequencing unit；
The acquiring unit is also used to obtain the ordering rule of sub- achievement data；
The sequencing unit, the ordering rule for being obtained according to the acquiring unit, to the multiple sub- achievement data
It is ranked up；
The display unit is specifically used for:
Multiple sub- achievement datas after showing sequence.
20. device according to claim 11, further includes: judging unit；
The judging unit, for judging whether each sub- achievement data meets preset early-warning conditions；
The display unit, if being also used to the judging unit judges that any sub- achievement data meets the preset early warning item
Part, then it is special to show any sub- achievement data.
21. a kind of visualization device for disassembling of achievement data, comprising:
Memory；
One or more processors；And
One or more programs wherein the storage of one or more of programs is in the memory, and are configured to by institute
One or more processors execution is stated, described program performs the steps of when being executed by the processor
Receive dismantling instruction；
It is instructed according to the dismantling, determines the achievement data to be dismantled having shown that；
Obtain dismantling dimension corresponding with the achievement data to be dismantled；
According to the dismantling dimension, the achievement data to be dismantled is disassembled, to obtain corresponding multiple sub- achievement datas；
Establish the dependence between the achievement data to be dismantled and the multiple sub- achievement data；
Show the multiple sub- achievement data and the dependence.
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