CN112434200A - Data display method and system and electronic equipment - Google Patents
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Abstract
The invention relates to a data display method, a system and electronic equipment, which are characterized in that metadata are firstly obtained from a data source, so that a user can conveniently input dimension and information of each index data in the data source according to the metadata, then, correlation factors between every two index data are calculated according to the information and the dimension of each index data, and finally, a data map is established and displayed according to the dimension of each index data and the correlation factors between every two index data.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data display method, a data display system, and an electronic device.
Background
Under the background of big data and artificial intelligence, the analysis and application of data in a data source are increasingly common, the former analysis system mainly faces to managers and professional analysts, and at present, the analysis system is sunk to the first line of business or even the public level; the data volume that users touched is also increasing, quick analysis and interpretation data are also becoming difficult, and at present, the data in the data source is analyzed through the mode of carrying out manual analysis, and inefficiency, and not in order to obtain the incidence relation between the data in the data source, lead to the accuracy of data analysis result not high, in addition, data analysis result often shows to the user in the form of data table or data report, lead to some to lack the user of non-professional analysis ability and can not understand the data analysis result fast, user experience is low.
Disclosure of Invention
The invention provides a data display method, a system and electronic equipment aiming at the defects of the prior art.
The technical scheme of the data display method is as follows:
acquiring metadata from a data source, and receiving dimension and information of each index data in the data source input by a user according to the metadata;
obtaining a correlation factor between every two index data according to the information and the dimensionality of each index data;
and establishing and displaying a data map according to the dimension of each index data and the correlation factor between every two index data.
The data display method has the following beneficial effects:
the data display method comprises the steps of firstly, obtaining metadata from a data source, facilitating a user to conveniently calculate correlation factors between every two index data according to the dimension and the information of each index data in the data source input by the metadata, and finally, establishing and displaying a data map according to the dimension of each index data and the correlation factors between every two index data.
On the basis of the scheme, the data display method can be further improved as follows.
Further, still include:
and selecting indexes, information and/or dimensions of the index data meeting the conditions from the knowledge graph according to a preset spoken mapping relation and annotating.
The beneficial effect of adopting the further scheme is that: because the user especially describes the dimensionality and the information which are respectively arranged on each index data in the data source and often have the spoken characters for the user lacking the professional analysis capability, the spoken characters are annotated through the preset spoken mapping relation, namely standardized technical terms, proper nouns and the like are annotated on the spoken characters, so that other users can quickly understand the data map through annotating the standardized technical terms, the proper nouns and the like, and the applicability is further improved.
Further, still include:
and identifying abnormally fluctuating index data from the data knowledge graph according to a preset condition, and marking and early warning.
The beneficial effect of adopting the further scheme is that: the abnormal fluctuation index data are identified from the data knowledge graph and marked and early-warned, so that a user can visually check the abnormal fluctuation index data for subsequent analysis, and the user experience is further improved.
Further, still include:
and carrying out voice broadcast on the information and the dimension of the abnormally fluctuated index data and the abnormally fluctuated index data.
The beneficial effect of adopting the further scheme is that: through carrying out voice broadcast to the information and the dimension of the abnormally fluctuated index data and the abnormally fluctuated index data, the user experience degree is further improved.
The technical scheme of the data display system is as follows:
the method comprises the steps of obtaining a receiving module, a calculating module and a building display module;
the acquisition receiving module is used for acquiring metadata from a data source and receiving dimension and information of each index data in the data source input by a user according to the metadata;
the calculation module is used for obtaining a correlation factor between every two pieces of index data according to the information and the dimensionality of each piece of index data;
the establishing and displaying module is used for establishing and displaying a data map according to the dimension of each index data and the correlation factor between every two index data.
The beneficial effects of the data display system of the invention are as follows:
the data display system comprises a data source, a calculation module, a display module and a data display module, wherein the data display system comprises a data source, the data source comprises a data map, the data map comprises a data map display module, the data map display module comprises a data map display module, a data acquisition module, a data analysis module and a data display module, the data display module comprises a display module, a data acquisition module and a data display module, the display module is used for acquiring metadata from the data source, the calculation module is used for acquiring the dimension and information of each index data according to the information and the dimension of each index data, and the display module is used for establishing and displaying the data map according to the dimension of each index data and the correlation factor between each two index data.
On the basis of the above scheme, the data presentation system of the present invention can be further improved as follows.
The system further comprises an annotation module, wherein the annotation module is used for selecting indexes, information and/or dimensions of the index data meeting the conditions from the knowledge graph according to a preset spoken mapping relation and annotating the indexes, the information and/or the dimensions.
The beneficial effect of adopting the further scheme is that:
because the user especially describes the dimensionality and the information which are respectively arranged on each index data in the data source and often have the spoken characters for the user lacking the professional analysis capability, the spoken characters are annotated through the preset spoken mapping relation, namely standardized technical terms, proper nouns and the like are annotated on the spoken characters, so that other users can quickly understand the data map through annotating the standardized technical terms, the proper nouns and the like, and the applicability is further improved.
The system further comprises a marking early warning module, wherein the marking early warning module is used for identifying abnormally fluctuating index data from the data knowledge graph according to preset conditions, and marking and early warning are carried out.
The beneficial effect of adopting the further scheme is that: the abnormal fluctuation index data are identified from the data knowledge graph and marked and early-warned, so that a user can visually check the abnormal fluctuation index data for subsequent analysis, and the user experience is further improved.
Further, still include the voice broadcast module, the voice broadcast module be used for with the information and the dimension of the index data of unusual fluctuation and the index data of unusual fluctuation carries out the voice broadcast.
The beneficial effect of adopting the further scheme is that: through carrying out voice broadcast to the information and the dimension of the abnormally fluctuated index data and the abnormally fluctuated index data, the user experience degree is further improved.
The technical scheme of the electronic equipment is as follows:
comprising a memory, a processor and a program stored in said memory and running on said processor, wherein said processor when executing said program performs the steps of a data presentation method as claimed in any one of the preceding claims.
The electronic equipment has the following beneficial effects:
the method comprises the steps of firstly, obtaining metadata from a data source, facilitating a user to conveniently calculate correlation factors between every two index data according to the dimension and the information of each index data in the data source input by the metadata, and finally, establishing and displaying a data map according to the dimension of each index data and the correlation factors between every two index data.
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FIG. 1 is a flow chart of a data display method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a data display system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
Detailed Description
As shown in fig. 1, a data display method according to an embodiment of the present invention includes the following steps:
s1, acquiring metadata from a data source, and receiving dimension and information of each index data in the data source input by a user according to the metadata;
s2, obtaining a correlation factor between every two index data according to the information and the dimensionality of each index data;
and S3, establishing and displaying a data map according to the dimension of each index data and the correlation factor between every two index data.
The data display method comprises the steps of firstly, obtaining metadata from a data source, facilitating a user to conveniently obtain dimension and information of each index data in the data source input by the metadata, then obtaining a correlation factor between every two index data according to the information and the dimension of each index data, and finally, establishing and displaying a data map according to the dimension of each index data and the correlation factor between every two index data.
The carrier of the data source may be a database, such as an oracle database, an SQL Server database, etc., and the specific technology for obtaining metadata from the oracle database and the SQL Server database is known in the art and will not be described herein.
The index data can be understood as: for example, if there are "population" labels and specific population numbers of the "population" labels in one data table, the index data is the "population" label and the specific population number corresponding to the "population" label.
Further, dimensions can be understood as: for example, there are a plurality of "population" labels in the data table and a specific population number corresponding to each "population" label, if the specific population number of one "population" label is the total population number in china, and the specific population number of another "population" label is the total population number in beijing, then confusion is easily caused because all labels in the data table are "population" labels, and at this time, the user inputs dimensions on the label corresponding to the total population number in china: "China", input dimension on the label corresponding to the total population of Beijing: "Beijing" does not cause confusion at this time.
Further, the information can be understood as: for example, in the specific population number corresponding to the "population" label of the input dimension, that is, "china", because of lack of specific demographic time, other users cannot obtain an accurate data analysis result, information is input in the "population" label of the dimension, that is, "china", such as the 1 st/1 st day statistics in 2020, and similarly, information is input in the "population" label of the dimension, that is, "beijing china", such as the 1 st/1 st day statistics in 2019;
it can be understood that the user inputs different dimensions and information for different index data, that is, the dimensions and information can be adjusted according to actual conditions.
The method comprises the steps of obtaining correlation factors between every two index data through a cosine similarity calculation method, a natural language word segmentation matching degree, a semantic analysis method and the like based on information and dimensionality of each index data, and then establishing and displaying a data map according to the dimensionality of each index data and the correlation factors between every two index data.
Preferably, in the above technical solution, the method further comprises:
s4, selecting indexes, information and/or dimensions of the index data meeting the conditions from the knowledge graph according to the preset spoken mapping relation and annotating the indexes, the information and/or the dimensions.
Because the user especially describes the dimensionality and the information which are respectively arranged on each index data in the data source and often have the spoken characters for the user lacking the professional analysis capability, the spoken characters are annotated through the preset spoken mapping relation, namely standardized technical terms, proper nouns and the like are annotated on the spoken characters, so that other users can quickly understand the data map through annotating the standardized technical terms, the proper nouns and the like, and the applicability is further improved.
The preset spoken mapping relation can be obtained through manual collection or semantic analysis, and the spoken names and corresponding standardized names can be recorded in the preset spoken mapping relation, for example, the parsley is called coriander, coriander and the like in the spoken language, and the scientific name is coriander, namely the spoken name: coriander, coriander and coriander, wherein the standardized name is coriander; the spoken technical nouns and the corresponding standardized technical nouns can also record English abbreviations and corresponding Chinese translations, and the like, namely, the preset spoken mapping relation is equivalent to the function of a dictionary, and indexes, information and/or dimensions of index data meeting conditions are selected from a knowledge graph and annotated.
The indexes, information and/or dimensions of the index data meeting the conditions can be understood as follows: the method comprises the following steps of obtaining indexes, information and/or dimensions of index data meeting conditions through a semantic analysis method or a direct comparison method and the like, and annotating, wherein the annotation can be realized through the following method, specifically:
1) directly marking standardized names and standardized technical nouns beside the spoken names and nouns in a marking form;
2) a spoken mark, such as a five-pointed star, a circle, etc., is placed on the spoken name and noun, and when the user clicks the spoken mark, a display box pops up to display the standardized name and the standardized technical noun.
Preferably, in the above technical solution, the method further comprises:
and S5, identifying abnormally fluctuating index data from the data knowledge graph according to preset conditions, and marking and early warning.
The abnormal fluctuation index data are identified from the data knowledge graph and marked and early-warned, so that a user can visually check the abnormal fluctuation index data for subsequent analysis, and the user experience is further improved.
The description will be given taking the amount of money to be paid as an example of index data, specifically:
when the preset condition is that the amount of money spent in the previous month cannot exceed 30%, for example, the amount of money spent in 1 month of 2020 is 1 ten thousand yuan, the amount of money spent in 2 months of 2020 is 1.1 ten thousand yuan, and the amount of money spent in 2 months is 10% < 30% compared with (1.1-1)/1 × 100%, the amount paid out in month 2 is not the index data of abnormal fluctuation, no marking and early warning are carried out at the moment, if the amount paid out in month 3 in 2020 is 2.2 ten thousand yuan, the amount paid out in 3 months is increased to (2.2-1.1)/1.1 × 100% > 30%, identifying the amount paid out in 3 months as the abnormally fluctuating index data, marking and early warning, the warning device can be marked through an alarm number or other marks, and early warning is carried out through the bullet frame and other directions, so that a user can conveniently check and carry out subsequent analysis and processing.
It can be understood that the preset condition can be adjusted according to the actual situation, and the details are not described herein.
Preferably, in the above technical solution, the method further comprises:
and S6, carrying out voice broadcast on the information and the dimension of the abnormally fluctuating index data and the abnormally fluctuating index data.
Through carrying out voice broadcast to the information and the dimension of the abnormally fluctuated index data and the abnormally fluctuated index data, the user experience degree is further improved.
For example, since the amount paid out in 3 months is identified as the abnormally fluctuating index data, the abnormally fluctuating index data is subjected to voice broadcast, so as to further improve the user experience, and the specific technology for realizing the voice broadcast is known by those skilled in the art, and is not described herein again.
According to the data display method, through data reading, data analysis and data display, a user can conveniently know data characteristics, namely a data analysis result, through a data map, and then the data condition is informed to the user in a voice mode, and meanwhile, abnormal fluctuating data are preferentially broadcasted; through automatic intelligent means, the auxiliary data user understands data, and realizes broadcasting the content more naturally through predetermineeing spoken mapping relation, is close to reality, easily conveys and understands.
In the foregoing embodiments, although the steps are numbered as S1, S2, etc., but only the specific embodiments are given in this application, and those skilled in the art may adjust the execution order of S1, S2, etc. according to the actual situation, which is also within the protection scope of the present invention, and it is understood that some embodiments may include some or all of the above embodiments.
As shown in fig. 2, a data display system according to an embodiment of the present invention includes an obtaining module 210, a calculating module 220, and an establishing and displaying module 230;
the obtaining and receiving module 210 is configured to obtain metadata from a data source, and receive dimensions and information of each index data in the data source, which are input by a user according to the metadata;
the calculation module 220 is configured to obtain a correlation factor between each two pieces of index data according to the information and the dimension of each piece of index data;
the creating and displaying module 230 is configured to create and display a data map according to the dimension of each index data and a correlation factor between every two index data.
The metadata are obtained from the data source, a user can conveniently calculate the dimension and the information of each index data in the data source input by the metadata, then the calculating module 220 calculates the correlation factor between every two index data according to the information and the dimension of each index data, finally, the display module 230 is established and displayed according to the dimension of each index data and the correlation factor between every two index data, the data analysis efficiency is high, for some users lacking in non-professional analysis ability, the data analysis result can be quickly understood through the data map, the user experience degree is improved, and the applicability is strong.
Preferably, in the above technical solution, the system further comprises an annotation module, and the annotation module is configured to select, from the knowledge graph, an index, information, and/or dimension of the index data that meets the condition according to a preset spoken mapping relationship, and perform annotation.
Because the user especially describes the dimensionality and the information which are respectively arranged on each index data in the data source and often have the spoken characters for the user lacking the professional analysis capability, the spoken characters are annotated through the preset spoken mapping relation, namely standardized technical terms, proper nouns and the like are annotated on the spoken characters, so that other users can quickly understand the data map through annotating the standardized technical terms, the proper nouns and the like, and the applicability is further improved.
Preferably, in the above technical solution, the system further comprises a marking and early warning module, and the marking and early warning module is configured to identify abnormally fluctuating index data from the data knowledge graph according to a preset condition, and perform marking and early warning.
The abnormal fluctuation index data are identified from the data knowledge graph and marked and early-warned, so that a user can visually check the abnormal fluctuation index data for subsequent analysis, and the user experience is further improved.
Preferably, in the above technical solution, the apparatus further includes a voice broadcast module, and the voice broadcast module is configured to perform voice broadcast on the information and the dimension of the abnormally fluctuating index data and the abnormally fluctuating index data.
Through carrying out voice broadcast to the information and the dimension of the abnormally fluctuated index data and the abnormally fluctuated index data, the user experience degree is further improved.
The above steps for realizing the corresponding functions of each parameter and each unit module in the data display system according to the present invention may refer to each parameter and step in the above embodiments of the data display method, which are not described herein again.
As shown in fig. 3, an electronic device 300 according to an embodiment of the present invention includes a memory 310, a processor 320, and a program 330 stored in the memory 310 and running on the processor 320, wherein when the processor 320 executes the program 330, the steps of a data presentation method implemented in any of the above embodiments are implemented.
Firstly, metadata is obtained from a data source, so that a user can conveniently calculate a correlation factor between every two index data according to the dimension and the information of each index data in the data source input by the metadata, and finally, a data map is established and displayed according to the dimension of each index data and the correlation factor between every two index data.
The electronic device 300 may be a computer, a mobile phone, or the like, and correspondingly, the program 330 is computer software or a mobile phone APP, and the parameters and the steps in the electronic device 300 of the present invention may refer to the parameters and the steps in the above embodiment of the data display method, which are not described herein again.
As will be appreciated by one skilled in the art, the present invention may be embodied as a system, method or computer program product.
Accordingly, the present disclosure may be embodied in the form of: may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software, and may be referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, the invention may also be embodied in the form of a computer program product in one or more computer-readable media having computer-readable program code embodied in the medium.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. A method for displaying data, comprising:
acquiring metadata from a data source, and receiving dimension and information of each index data in the data source input by a user according to the metadata;
obtaining a correlation factor between every two index data according to the information and the dimensionality of each index data;
and establishing and displaying a data map according to the dimension of each index data and the correlation factor between every two index data.
2. The data presentation method of claim 1, further comprising:
and selecting indexes, information and/or dimensions of the index data meeting the conditions from the knowledge graph according to a preset spoken mapping relation and annotating.
3. The data presentation method according to claim 1 or 2, further comprising:
and identifying abnormally fluctuating index data from the data knowledge graph according to a preset condition, and marking and early warning.
4. A method as claimed in claim 3, further comprising:
and carrying out voice broadcast on the information and the dimension of the abnormally fluctuated index data and the abnormally fluctuated index data.
5. A data display system is characterized in that a receiving module, a calculating module and a display establishing module are obtained;
the acquisition receiving module is used for acquiring metadata from a data source and receiving dimension and information of each index data in the data source input by a user according to the metadata;
the calculation module is used for obtaining a correlation factor between every two pieces of index data according to the information and the dimensionality of each piece of index data;
the establishing and displaying module is used for establishing and displaying a data map according to the dimension of each index data and the correlation factor between every two index data.
6. The data presentation system of claim 5, further comprising an annotation module, wherein the annotation module is configured to select and annotate indicators, information, and/or dimensions of eligible indicator data from the knowledge graph according to a preset spoken mapping relationship.
7. The data display system of claim 5 or 6, further comprising a marking and early warning module, wherein the marking and early warning module is configured to identify abnormally fluctuating index data from the data knowledge graph according to a preset condition, and perform marking and early warning.
8. The data presentation system of claim 7, further comprising a voice broadcast module, wherein the voice broadcast module is configured to perform voice broadcast on the information and the dimension of the abnormally fluctuating index data and the abnormally fluctuating index data.
9. An electronic device comprising a memory, a processor and a program stored on the memory and running on the processor, wherein the steps of a data presentation method as claimed in any one of claims 1 to 4 are implemented when the program is executed by the processor.
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| CN113434575A (en) * | 2021-06-30 | 2021-09-24 | 平安普惠企业管理有限公司 | Data attribution processing method and device based on data warehouse and storage medium |
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