CN109213823A - A kind of method and device of the type intelligent sequencing chart based on chart classification axis - Google Patents
A kind of method and device of the type intelligent sequencing chart based on chart classification axis Download PDFInfo
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Abstract
A kind of method that the application proposes type intelligent sequencing chart based on chart classification axis, comprising the following steps: read in the data set of chart to be shown, and extract classification field and corresponding data record in the data set to be sorted；For the preset first rule configuration of extracted classification field control, whether the data record for verifying the classification field meets the first rule configuration, the sequence being recorded in data set when not meeting the first rule and configuring according to data is plotted to chart and the end of data, otherwise performs the next step；Compare data record corresponding to classification field according to preset rules configuration to be ranked up to data record；According to the Visual Chart of the data record drawing data after sequence.Disclosed herein as well is the devices of the corresponding type intelligent sequencing chart based on chart classification axis.The application's has the beneficial effect that based on preset multinomial rule configuration, provides more targeted semi-automatic sortord, improves the sequence efficiency of the chart of data.
Description
Technical field
This application involves the information processing technology more particularly to a kind of type intelligent sequencing charts based on chart classification axis
Method and device.
Background technique
Diversification and easy due to the collection mode of data, such as client's distribution, product inventory, sales achievement, object
The business datum of the magnanimity such as stream transport can be respectively adopted real-time report and concentrate reporting schemes, so that data largely generate and shape
At one group of multiple database that are mutually related.But while easily collecting mass data, analysis personnel but need to spend
Take the logic association between comparable time excavation related data, and visually shows to by chart mode.
Currently, the chart of this kind of data visualization often relies only on manual operation completion.Producer's root of chart
Multidimensional analysis production is carried out according to the specific semanteme of data itself, and to each database.Further, since collecting resulting original number
According to often rambling, if therefore resulting data will be collected directly scheming according to the acquisition time sequence display of itself
When in table, the internal relation of data itself is often covered by above-mentioned chart display mode, can not intuitively embody initial data back
Rule afterwards.
In this regard, the patent of invention of Publication No. CN108319577A propose the processing methods of several charts a kind of, device and
Electronic equipment, to solve technical problem low to the sequence efficiency of chart in the prior art.The technical literature is by producer
Member provides visual data sorting mode, allows producer that can adjust the sequence of data voluntarily efficiently to highlight data sheet
The inherent laws of body.Although aforesaid way is easy to operate, the producer of chart can be allowed quickly and easily to the number in chart
According to sequence, the manual operation of producer but this method still places one's entire reliance upon.Especially when data volume is bigger, chart
Producer's data for still needing multi-pass operation that could complete to classification axis sequence.
Summary of the invention
The purpose of the application is to solve the deficiencies in the prior art, provides a kind of type intelligent sequencing based on chart classification axis
The method and device of chart, when being ranked up with solving mass data of the prior art under the classification axis to chart, completely according to
Rely in the producer of chart is manually ranked up pieces of data the problem of, to improve the chart production efficiency of data.
To achieve the goals above, the following technical solution is employed by the application.
Firstly, a kind of method that the application proposes type intelligent sequencing chart based on chart classification axis, including following step
It is rapid:
S100 the data set of chart to be shown) is read in, and extracts classification field and phase in the data set to be sorted
The data record answered；
S200) for the preset first rule configuration of extracted classification field control, the number of the classification field is verified
Whether meet the first rule configuration according to record, when not meeting the sequence being recorded in when the first rule configuration according to data in data set
It is plotted to the chart of data and end, it is no to then follow the steps S300；
S300 data record corresponding to classification field) is compared to arrange data record according to preset rules configuration
Sequence；
S400) according to the Visual Chart of the data record drawing data after sequence.
In the above method of the application, in step s 200 when the data record for verifying the classification field do not meet it is pre-
If further including following sub-step when the first rule configuration:
S201) detection producer is directed to the predetermined registration operation of classification field；
S202 the predetermined registration operation for) responding producer determines the Second Rule configuration of data record；
S203) Second Rule is saved to be configured in data set.
Further, in the above method of the application, step S200 further includes following pre-treatment step: detecting the number
According to concentrating the correspondence Second Rule for whether having the field to configure, the Second Rule configuration if it exists, then according to described second
Otherwise the data record of regular configuration verification classification field is remembered according to the data of the described first regular configuration verification classification field
Record.
In the above method of the application, when the classification field number of extraction be at least two when, step S300 include with
Lower sub-step:
S301 the priority order of at least two classification fields) is determined；
S302 the priority order) based on classification field is successively ranked up corresponding data record；
Wherein, when there is the data record of at least two identical sequences in the classification field in high priority, low excellent
These data records are ranked up in the classification field of first grade.
Further, in the above method of the application, the priority order of classification field is based on classification in data set
What the inclusion relation of field determined.
In the above method of the application, preset first rule configuration is established based on external data source.
Secondly, the application proposes a kind of device of type intelligent sequencing chart based on chart classification axis, including with lower die
Block: read module, for reading in the data set of chart to be shown, and extract the classification field in the data set to be sorted and
Corresponding data record；Data Verification module, for being configured for extracted classification field control preset rules, described in verifying
Whether the data record of classification field meets dependency rule, is recorded in data set according to data when not meeting preset rules configuration
In sequence show, otherwise call data comparison module；Data comparison module, for comparing classification axis according to preset rules configuration
Data record corresponding to field is to be ranked up data record；Generation module, for being drawn according to the data record after sequence
The Visual Chart of data processed.
In the above-mentioned apparatus of the application, Data Verification module further includes following submodule: detection module, for detecting system
Make the predetermined registration operation that personnel are directed to classification field；Respond module determines data for responding the predetermined registration operation of producer
The Second Rule of record configures；Preserving module is configured in data set for saving the Second Rule.
Further, in the above-mentioned apparatus of the application, Data Verification module further includes following preprocessing module: pre-detection
Whether module has the correspondence Second Rule of the field to configure, if it exists the Second Rule for detecting in the data set
Otherwise configuration is tested then according to the data record of the Second Rule configuration verification classification field according to the first rule configuration
Demonstrate,prove the data record of classification field.
In the above-mentioned apparatus of the application, data comparison module includes following sub-step: determining module, for determining at least
The priority order of two classification fields；Sorting module, for the priority order based on classification field successively to corresponding
Data record be ranked up.Wherein, when the data note that there are at least two identical sequences in the classification field in high priority
When record, sorting module is ranked up these data records in the classification field of low priority.
Further, in the above-mentioned apparatus of the application, the priority order of classification field is based on classification in data set
What the inclusion relation of field determined.
In the above-mentioned apparatus of the application, preset first rule configuration is established based on external data source.
Finally, being stored thereon with computer instruction present invention also provides a kind of computer readable storage medium.The instruction
S100 is performed the steps of when being executed by processor) data set of chart to be shown is read in, and extract the data to be sorted
The classification field and corresponding data record of concentration；S200) preset first rule is compareed for extracted classification field to match
Set, verify the classification field data record whether meet first rule configuration, when do not meet first rule configuration when according to
Data are recorded in chart and the end that the sequence in data set is plotted to data, no to then follow the steps S300；S300) according to default
Rule configuration compares data record corresponding to classification field to be ranked up to data record；S400) according to the number after sequence
According to the Visual Chart of record drawing data.
During the execution processed of the above-metioned instruction of the application, in step s 200 when the verifying classification field
Further include following sub-step when data record does not meet default first rule configuration:
S201) detection producer is directed to the predetermined registration operation of classification field；
S202 the predetermined registration operation for) responding producer determines the Second Rule configuration of data record；
S203) Second Rule is saved to be configured in data set.
Further, during the execution processed of the above-metioned instruction of the application, step S200 further includes following pre- place
Reason step: whether in the data set have the correspondence Second Rule of the field configure, the Second Rule is matched if it exists if detecting
It sets, then according to the data record of the Second Rule configuration verification classification field, otherwise according to the described first regular configuration verification
The data record of classification field.
During the execution processed of the above-metioned instruction of the application, when the classification field number of extraction is at least two
When, step S300 includes following sub-step:
S301 the priority order of at least two classification fields) is determined；
S302 the priority order) based on classification field is successively ranked up corresponding data record；
Wherein, when there is the data record of at least two identical sequences in the classification field in high priority, low excellent
These data records are ranked up in the classification field of first grade.
Further, during the execution processed of the above-metioned instruction of the application, the priority order of classification field is
It is determined based on the inclusion relation of classification field in data set.
During the execution processed of the above-metioned instruction of the application, preset first rule configuration is based on external data
Source is established.
Having the beneficial effect that for the application is based upon classification field and preset multinomial rule configuration, provides more targetedly
Semi-automatic chart data record sortord, improve data visualization chart sequence efficiency.
Detailed description of the invention
Fig. 1 show one embodiment process of the type intelligent sequencing chart for the chart classification axis that the application is proposed
Figure；
Fig. 2 show the schematic diagram of the classification sequence front and back of chart in embodiment illustrated in fig. 1；
Fig. 3 show class one embodiment submethod flow chart that the application is proposed；
Fig. 4 show one embodiment submethod process for the chart with multiclass mesh axis that the application is proposed
Figure；
Fig. 5 show the schematic diagram of the classification conversion front and back of chart in embodiment illustrated in fig. 4；
Fig. 6 show one embodiment module knot of the type intelligent sequencing chart for the chart classification axis that the application is proposed
Composition.
Specific embodiment
It is carried out below with reference to technical effect of the embodiment and attached drawing to the design of the application, specific structure and generation clear
Chu, complete description, to be completely understood by the purpose, scheme and effect of the application.It should be noted that the case where not conflicting
Under, the features in the embodiments and the embodiments of the present application can be combined with each other.The identical attached drawing mark used everywhere in attached drawing
Note indicates the same or similar part.
One embodiment flow chart of type intelligent sequencing graphic method shown in referring to Fig.1 based on chart classification axis,
The application proposes a kind of type intelligent sequencing graphic method based on chart classification axis, comprising the following steps:
S100 the data set of chart to be shown) is read in, and extracts classification field and phase in the data set to be sorted
The data record answered；
S200) for the preset first rule configuration of extracted classification field control, the number of the classification field is verified
Whether meet the first rule configuration according to record, when not meeting the sequence being recorded in when the first rule configuration according to data in data set
It is plotted to the chart of data and end, it is no to then follow the steps S300；
S300 data record corresponding to classification field) is compared to arrange data record according to preset rules configuration
Sequence；
S400) according to the Visual Chart of the data record drawing data after sequence.
Wherein, data set is set composed by each database.Data record in data set in each database is
The initial data not being organized.This means that these data records are to set according to certain format to various types of data collections
It is standby to be intensively uploaded to the data set in real time or in batches, and be recorded according to the field of each tables of data in database to
Under the corresponding classification field of display in the graph.Therefore, the data record in data set may be considered according to random side
Formula sequence.In addition, the configuration file that the first rule configuration can be stored in data set.There is each record in the configuration file
Type, title and its possible sortord of classification field.For example, the classification field for numeric type can be according to numerical value
Size sequence.And for the classification field of text type, it, can be according to text in one or more embodiments of the application
The semanteme of itself (such as has " first ", " second " and " third " or " January ", " February " and " March in text
Part " etc. have the text of obvious orbution) or text initial (such as the client in the classification field of " customer name "
The initial of title) a plurality of data record of sequence.
In one or more embodiments of the application, preset first rule configuration is established based on external data source.
Referring to two charts before and after sequence shown in Fig. 2, in a specific embodiment, each area visitor of some greater chain mechanism
In the distribution table of family, tables of data is only to have recorded it in the customer quantity data in every city in data set, i.e., it only includes "
The data in area " and this area's customer quantity.(such as Fig. 2 when these data are directly plotted to chart according to the order in data set
In upper graph), it is more mixed and disorderly since each city is that occur according to random order.At this point, the first rule configuration
It can be ranked up (under in such as Fig. 2 based on the external data source of administrative division according to the coding orders of each administrative region
Square chart).Chart after sequence more meets the general reading habit of people.In another specific embodiment, the first rule is matched
It sets and can be the geographic position data based on administrative region, sort eastwards according to the geographical location of each administrative region from west above-mentioned each
The data in a city.
Referring to submethod flow chart shown in Fig. 3, in one or more embodiments of the application, in step s 200 when
Verify the classification field data record do not meet it is default first rule configuration when, further include following sub-step:
S201) detection producer is directed to the predetermined registration operation of classification field；
S202 the predetermined registration operation for) responding producer determines the Second Rule configuration of data record；
S203) Second Rule is saved to be configured in data set.
Wherein, preset mode of operation can be producer by way of manually adjusting to the number in the classification field
It is ranked up according to record, or the data record in the classification field is carried out using the sortord in other classification fields
Sequence is (for example, by " client institute is applied in the way of the sequence of customer name initial in the classification field of " customer name "
On ground " classification field in).Similar with the first regular configuration, which can also use the form of configuration file
It is stored in data set.
Further, in above-described embodiment of the application, step S200 further includes following pre-treatment step: described in detection
Whether there is the correspondence Second Rule of the field to configure in data set, if it exists Second Rule configuration, then according to described the
Otherwise the data record of two regular configuration verification classification fields is remembered according to the data of the described first regular configuration verification classification field
Record.By the set-up mode of above-mentioned this Second Rule configuration, the producer of chart quickly and can have and pointedly be
Ordering rule is arranged in data record under each classification field, and can quickly form updated figure after data record update
Table.
Referring to submethod flow chart shown in Fig. 4, in one or more embodiments of the application, when the classification word of extraction
When section number is at least two, step S300 includes following sub-step:
S301 the priority order of at least two classification fields) is determined；
S302 the priority order) based on classification field is successively ranked up corresponding data record；
Wherein, when there is the data record of at least two identical sequences in the classification field in high priority, low excellent
These data records are ranked up in the classification field of first grade.Specifically, before and after classification field sequence referring to Figure 5
Chart.The priority order between multiple classification fields can be arranged according to chart content to be expressed in producer.Example
Such as, the priority order of " department " was arranged under " month ", so that chart shown in the top Fig. 5 is automatically converted to figure
Chart shown in 5 lower sections, and according to the first rule configuration in same classification field and the priority order between classification field
Data record is ranked up, to be shown on chart.
Further, in above-described embodiment of the application, the priority order of classification field is based on class in data set
What the inclusion relation of mesh field determined.In one embodiment, which can be determined by the setting of tables of data itself
's.In another embodiment, which is also possible to the semanteme based on classification field itself (for example, " monthly ", " season
The field per se with inclusion relation such as degree " and " year ") it determines.
The function structure chart referring to shown in Fig. 6, the application propose a kind of type intelligent sequencing chart based on chart classification axis
Device comprises the following modules: read module, for reading in the data set of chart to be shown, and extracts the data to be sorted
The classification field and corresponding data record of concentration；Data Verification module, for default for the control of extracted classification field
Rule configuration, whether the data record for verifying the classification field meet dependency rule, when not meeting preset rules configuration by
The sequence in data set is recorded according to data to show, otherwise calls data comparison module；Data comparison module, for according to default
Rule configuration compares data record corresponding to classification axis field to be ranked up to data record；Generation module is used for basis
The Visual Chart of data record drawing data after sequence.
In one or more embodiments of the application, preset first rule configuration is established based on external data source.
Referring to two charts before and after sequence shown in Fig. 2, in a specific embodiment, each area visitor of some greater chain mechanism
In the distribution table of family, tables of data is only to have recorded it in the customer quantity data in every city in data set, i.e., it only includes "
The data in area " and this area's customer quantity.(such as Fig. 2 when these data are directly plotted to chart according to the order in data set
In upper graph), it is more mixed and disorderly since each city is that occur according to random order.At this point, the first rule configuration
It can be ranked up (under in such as Fig. 2 based on the external data source of administrative division according to the coding orders of each administrative region
Square chart).Chart after sequence more meets the general reading habit of people.In another specific embodiment, the first rule is matched
It sets and can be the geographic position data based on administrative region, sort eastwards according to the geographical location of each administrative region from west above-mentioned each
The data in a city.
In one or more embodiments of the application, Data Verification module further includes following submodule: detection module, is used
The predetermined registration operation of classification field is directed in detection producer；Respond module, for responding the predetermined registration operation of producer,
Determine the Second Rule configuration of data record；Preserving module is configured in data set for saving the Second Rule.Wherein,
Preset mode of operation can be producer and be arranged by way of manually adjusting the data record in the classification field
Sequence, or the data record in the classification field is ranked up (for example, will using the sortord in other classification fields
The classification in " client location " is applied in the way of the sequence of customer name initial in the classification field of " customer name "
In field).Similar with the first regular configuration, which can also be stored in data set in the form of configuration file
In.
Further, in above-described embodiment of the application, Data Verification module further includes following preprocessing module: preliminary examination
Module is surveyed, whether has the correspondence Second Rule of the field to configure in the data set for detecting, if it exists second rule
It then configures, then according to the data record of the Second Rule configuration verification classification field, is otherwise configured according to first rule
Verify the data record of classification field.By the set-up mode of above-mentioned this Second Rule configuration, the producer of chart can be with
Quickly and have ordering rule pointedly is set for the data record under each classification field, and can be updated in data record
Afterwards, updated chart is quickly formed.
In one or more embodiments of the application, data comparison module includes following sub-step: determining module is used for
Determine the priority order of at least two classification fields；Sorting module, for the priority order based on classification field according to
It is secondary that corresponding data record is ranked up.Wherein, when in the classification field in high priority exist at least two identical sequences
Data record when, sorting module is ranked up these data records in the classification field of low priority.Wherein, when in height
When there is the data record of at least two identical sequences in the classification field of priority, to this in the classification field of low priority
A little data records are ranked up.Specifically, the chart of classification field sequence front and back referring to Figure 5.Producer can root
According to chart content to be expressed, the priority order between multiple classification fields is set.For example, by the preferential level of " department "
Sequence was arranged under " month ", so that chart shown in the top Fig. 5 is automatically converted to chart shown in the lower section Fig. 5, and pressed
Data record is ranked up according to the first rule configuration in same classification field and the priority order between classification field, with
It is shown on chart.
Further, in above-described embodiment of the application, the priority order of classification field is based on class in data set
What the inclusion relation of mesh field determined.In one embodiment, which can be determined by the setting of tables of data itself
's.In another embodiment, which is also possible to the semanteme based on classification field itself (for example, " monthly ", " season
The field per se with inclusion relation such as degree " and " year ") it determines.
It will be appreciated that though various elements may be described in this application using term first, second, third, etc., but
These elements should not necessarily be limited by these terms.These terms are only used to for same type of element being distinguished from each other out.For example, not taking off
In the case where the application range, first element can also be referred to as second element, and similarly, second element can also be referred to as
First element.Depending on context, word as used in this " if " can be construed to " ... when " or " when ...
When ".
It should be appreciated that embodiments herein can be by computer hardware, the combination of hardware and software or by depositing
The computer instruction in non-transitory computer-readable memory is stored up to be effected or carried out.Standard program can be used in this method
Technology-include realized in computer program configured with the non-transitory computer-readable storage media of computer program, wherein
Configured in this way storage medium make computer operated in a manner of specific and is predefined-according in a particular embodiment describing
Method and attached drawing.Each program can be realized with the programming language of level process or object-oriented with logical with computer system
Letter.However, if desired, the program can be realized with compilation or machine language.Under any circumstance, the language can be compiling or
The language of explanation.In addition, the program can be run on the specific integrated circuit of programming for this purpose.
Further, this method can be realized in being operably coupled to suitable any kind of computing platform, wrap
Include but be not limited to PC, mini-computer, main frame, work station, network or distributed computing environment, individual or integrated
Computer platform or communicated with charged particle tool or other imaging devices etc..The various aspects of the application can be to deposit
The machine readable code on non-transitory storage medium or equipment is stored up to realize no matter be moveable or be integrated to calculating
Platform, such as hard disk, optical reading and/or write-in storage medium, RAM, ROM, so that it can be read by programmable calculator, when
Storage medium or equipment can be used for configuration and operation computer to execute process described herein when being read by computer.This
Outside, machine readable code, or part thereof can be transmitted by wired or wireless network.When such media include combining microprocessor
Or when other data processors realization instruction or program of the step above, application as described herein includes that these and other are different
The non-transitory computer-readable storage media of type.When being programmed according to methods and techniques described herein, the application is also
Including computer itself.
Computer program can be applied to input data to execute function as described herein, to convert input data with life
At storing to the output data of nonvolatile memory.Output information can also be applied to one or more output equipments as shown
Device.In the application preferred embodiment, the data of conversion indicate physics and tangible object, including the object generated on display
Reason and the particular visual of physical objects are described.
Therefore, should be with descriptive sense rather than restrictive sense understands the specification and drawings.However, by apparent
It is:, can be to the application in the case where not departing from the broader spirit and scope of the application as described in claims
Make various modifications and change.
Other modifications are in spirit herein.Therefore, although disclosed technology may be allowed various modifications and substitution structure
It makes, but has shown that in the accompanying drawings and its some embodiments shown in being described in detail above.It will be appreciated, however, that not
It is intended to for the application to be confined to disclosed one or more concrete forms；On the contrary, its intention covers such as the appended claims
Defined in fall in all modifications, alternative constructions and equivalent in spirit and scope.
Claims (9)
1. a kind of method of the type intelligent sequencing chart based on chart classification axis, which comprises the following steps:
S100 the data set of chart to be shown) is read in, and extracts the classification field in the data set to be sorted and corresponding
Data record；
S200) for the preset first rule configuration of extracted classification field control, the data note of the classification field is verified
Whether record meets the first rule configuration, is recorded in the sequence in data set according to data when not meeting the first rule configuration and draws
Chart and end to data, it is no to then follow the steps S300；
S300 data record corresponding to classification field) is compared to be ranked up to data record according to preset rules configuration；
S400) according to the Visual Chart of the data record drawing data after sequence.
2. the method according to claim 1, wherein in step s 200 when the data for verifying the classification field
Further include following sub-step when record does not meet default first rule configuration:
S201) detection producer is directed to the predetermined registration operation of classification field；
S202 the predetermined registration operation for) responding producer determines the Second Rule configuration of data record；
S203) Second Rule is saved to be configured in data set.
3. according to the method described in claim 2, it is characterized in that, step S200 further includes following pre-treatment step:
Whether in the data set have the correspondence Second Rule of the field configure, if it exists the Second Rule configuration if detecting,
Then according to the data record of the Second Rule configuration verification classification field, otherwise according to the described first regular configuration verification classification
The data record of field.
4. the method according to claim 1, wherein being walked when the classification field number of extraction is at least two
Rapid S300 includes following sub-step:
S301 the priority order of at least two classification fields) is determined；
S302 the priority order) based on classification field is successively ranked up corresponding data record；
Wherein, when there is the data record of at least two identical sequences in the classification field in high priority, in low priority
Classification field in these data records are ranked up.
5. according to the method described in claim 4, it is characterized in that, the priority order of classification field is based on class in data set
What the inclusion relation of mesh field determined.
6. the method according to claim 1, wherein preset first rule configuration is built based on external data source
It is vertical.
7. a kind of device of the type intelligent sequencing chart based on chart classification axis, which is characterized in that comprise the following modules:
Read module for reading in the data set of chart to be shown, and extracts the classification field in the data set to be sorted
And corresponding data record；
Data Verification module, for verifying the classification field for the control preset rules configuration of extracted classification field
Whether data record meets dependency rule, is recorded in the sequence in data set according to data when not meeting preset rules configuration and shows
Show, otherwise calls data comparison module；
Data comparison module, for comparing data record corresponding to classification field to data record according to preset rules configuration
It is ranked up；
Generation module, for the Visual Chart according to the data record drawing data after sequence.
8. device according to claim 7, which is characterized in that preset first rule configuration is built based on external data source
It is vertical.
9. a kind of computer readable storage medium, is stored thereon with computer instruction, it is characterised in that the instruction is held by processor
It realizes when row such as the step of method described in any one of claims 1 to 6.
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| CN201811065598.7A CN109213823A (en) | 2018-09-13 | 2018-09-13 | A kind of method and device of the type intelligent sequencing chart based on chart classification axis |
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| CN201811065598.7A CN109213823A (en) | 2018-09-13 | 2018-09-13 | A kind of method and device of the type intelligent sequencing chart based on chart classification axis |
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| US20110271172A1 (en) * | 2010-04-30 | 2011-11-03 | Microsoft Corporation | Temporary formatting and charting of selected data |
| CN106227750A (en) * | 2016-07-14 | 2016-12-14 | 上海超橙科技有限公司 | Data analysis and methods of exhibiting and system |
| CN108319577A (en) * | 2017-01-18 | 2018-07-24 | 阿里巴巴集团控股有限公司 | A kind of processing method of chart, device and electronic equipment |
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2018
- 2018-09-13 CN CN201811065598.7A patent/CN109213823A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110271172A1 (en) * | 2010-04-30 | 2011-11-03 | Microsoft Corporation | Temporary formatting and charting of selected data |
| CN106227750A (en) * | 2016-07-14 | 2016-12-14 | 上海超橙科技有限公司 | Data analysis and methods of exhibiting and system |
| CN108319577A (en) * | 2017-01-18 | 2018-07-24 | 阿里巴巴集团控股有限公司 | A kind of processing method of chart, device and electronic equipment |
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