CN110489481B - Data analysis method and device for industry data and data analysis server - Google Patents
Data analysis method and device for industry data and data analysis server Download PDFInfo
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- CN110489481B CN110489481B CN201910723030.8A CN201910723030A CN110489481B CN 110489481 B CN110489481 B CN 110489481B CN 201910723030 A CN201910723030 A CN 201910723030A CN 110489481 B CN110489481 B CN 110489481B
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Abstract
The embodiment of the invention provides a data analysis method and device for industrial data and a data analysis server, wherein the data analysis method for the industrial data provided by the embodiment of the invention can be applied to the data analysis server and can be used for obtaining the industrial data to be analyzed; receiving a data analysis instruction; data mining is carried out on the data to be analyzed based on transaction information in the industry data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained; and according to the preset network graph style and the enterprise relationship display quantity, drawing and displaying the industry network graph by taking the enterprises as nodes and taking the upstream and downstream relationships among the enterprises as edges. Therefore, in the embodiment, data mining can be performed on the data to be analyzed based on the transaction information in the industry data to be analyzed, the upstream and downstream relations between the enterprises in the specified industry are obtained, and the industry network diagram is displayed, so that the problem that the relation between the enterprises in the specified industry cannot be analyzed in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of big data processing, in particular to an industry analysis method and device and a data analysis server.
Background
With the continuous development of big data technology, all walks of life begin to adopt big data mining technology to carry out statistical analysis to industry data to know the industry development status of this industry.
The existing data analysis method for industry data is generally based on statistical data of sales conditions of enterprises in the industry, the industry is analyzed, and then information such as total sales, number of enterprises, geographical position distribution of the enterprises and the like of the industry is displayed through charts such as broken lines, column charts or pie charts.
However, the inventor finds that the prior art has at least the following problems in the process of implementing the invention: the prior art only shows information such as sales total of an industry, the number of enterprises and geographical location distribution of the enterprises by using a chart, but cannot analyze the relationship among the enterprises in the industry.
Disclosure of Invention
The embodiment of the invention aims to provide a data analysis method and device of industry data and a data analysis server, so as to analyze the relation among enterprises in a specified industry. The specific technical scheme is as follows:
in order to achieve the above object, in a first aspect, an embodiment of the present invention provides a data analysis method for industry data, which is applied to a data analysis server, and the method includes:
acquiring industrial data to be analyzed; the to-be-analyzed industry data comprises: appointing transaction information of each enterprise in the industry;
receiving a data analysis instruction;
based on transaction information in the industry data to be analyzed, data mining is carried out on the data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained;
and according to the preset network graph style and the enterprise relationship display quantity, drawing and displaying the industry network graph by taking the enterprises as nodes and taking the upstream and downstream relationships among the enterprises as edges.
Optionally, the step of obtaining the industry data to be analyzed includes:
enterprise data sent by client equipment of each enterprise in a specified industry is received; the enterprise data comprises: enterprise identification information, bill information and cargo information;
based on the bill information and the goods information of each enterprise in the appointed industry, extracting the transaction information of each enterprise in the appointed industry; or the like, or, alternatively,
the step of obtaining the industry data to be analyzed comprises:
acquiring bill information and goods information of each enterprise of all industries; the bill information comprises commodity codes of goods;
screening out bill information and goods information of each enterprise of the designated industry from bill information and goods information of each enterprise of all industries based on each preset commodity code of the designated industry;
and extracting the transaction information of each enterprise in the designated industry based on the bill information and the goods information of each enterprise in the designated industry.
Optionally, the transaction information includes: a delivery enterprise identifier and a receiving enterprise identifier;
the step of performing data mining on the to-be-analyzed data based on the transaction information in the to-be-analyzed industry data to obtain the upstream-downstream relationship among enterprises in the specified industry comprises the following steps of:
and determining the delivery enterprise as an upstream enterprise of the receiving enterprise based on the transaction information in the to-be-analyzed industrial data.
Optionally, the step of displaying the data volume according to the preset network diagram style and the enterprise relationship, drawing and displaying the industry network diagram by using the enterprises as nodes and the upstream and downstream relationships between the enterprises as edges includes:
based on the transaction information of each enterprise in the designated industry, sequencing the enterprises according to the sale amount from high to low to obtain the enterprises with the front-ranked enterprise relationship display quantity as the to-be-displayed relationship enterprises;
and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
Optionally, the method further includes:
receiving an enterprise relation display data volume adjusting instruction; the display data volume adjusting instruction comprises a data volume adjusting proportion;
if the data volume adjustment proportion in the display data volume adjustment instruction is 0, determining a preset standard enterprise as a relation enterprise to be displayed;
if the data volume adjusting proportion in the display data volume adjusting instruction is not 0, determining the target enterprise relationship display quantity according to the data volume adjusting proportion on the basis of the display data volume adjusting instruction and on the basis of the number of enterprises owned by the designated industry;
sequencing the enterprises in the sequence of the number of the upstream and downstream enterprises of each enterprise in the specified industry from most to least based on the number of the upstream and downstream enterprises of each enterprise in the specified industry, or sequencing the enterprises in the sequence of the sales amount of the enterprises from high to low based on the transaction information of each enterprise in the specified industry;
acquiring a plurality of enterprises with the target enterprise relationship display quantity arranged in front as the enterprise with the relationship to be displayed;
according to the enterprise identification information, carrying out merging operation on the set containing the relation enterprises to be displayed and the set containing the preset standard enterprises to obtain the relation enterprises to be displayed;
and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
Optionally, the method further includes:
receiving a first enterprise relation query instruction; the first enterprise relation query instruction comprises an enterprise identification of a target enterprise;
inquiring adjacent upstream and adjacent downstream enterprises of the target enterprise from the obtained upstream and downstream relations among the enterprises in the specified industry as a primary inquiry result;
drawing and displaying a primary query result graph by taking a target enterprise as a central node and taking an upstream-downstream relationship between the target enterprise and an enterprise in the primary query result as an edge according to a preset primary query result graph style; and/or the presence of a gas in the gas,
receiving a second enterprise relation query instruction; the second enterprise relation query instruction comprises an enterprise identifier of a target enterprise;
querying adjacent upstream and adjacent downstream enterprises of the target enterprise and adjacent upstream and adjacent downstream enterprises of the adjacent upstream and adjacent downstream enterprises from the obtained upstream and downstream relations between the enterprises in the specified industry as secondary query results;
and drawing and displaying a secondary query result graph by taking the target enterprise as a central node and taking the upstream and downstream relation between the target enterprise and the enterprise in the secondary query result as an edge according to a preset secondary query result graph style.
Optionally, the method further includes:
detecting the position of a cursor in an industry network graph displayed on a screen;
when the cursor moves to the node or edge position of the industry network graph, transaction statistical data of the enterprise corresponding to the node or edge or transaction statistical data between two enterprises connected at the edge are displayed at the preset adjacent position of the node or edge corresponding to the cursor position.
Optionally, the method further includes:
receiving click instructions at nodes in an industry network diagram;
judging whether a closed loop of a connecting line appears when the mulberry base graph is generated or not based on whether bidirectional transaction exists between the enterprise corresponding to the clicked node and other enterprises in the industry or not;
if closed loop of the connecting line appears, the enterprise having bidirectional transaction with the clicked node is used as a downstream enterprise of the clicked node;
and generating and displaying the morus base map.
In a second aspect, an embodiment of the present invention provides an apparatus for analyzing industry data, which is applied to a data analysis server, and includes:
the acquisition module is used for acquiring the industrial data to be analyzed; the to-be-analyzed industry data comprises: appointing transaction information of each enterprise in the industry;
the receiving module is used for receiving a data analysis instruction;
the mining module is used for carrying out data mining on the to-be-analyzed data based on transaction information in the to-be-analyzed industry data to obtain the upstream-downstream relationship among enterprises in the specified industry;
and the drawing module is used for drawing and displaying the industry network graph by taking enterprises as nodes and taking upstream and downstream relations among the enterprises as edges according to the preset network graph style and enterprise relation display quantity.
In a third aspect, an embodiment of the present invention provides a data analysis server, including: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
the processor is used for realizing the following steps when executing the program stored in the memory:
acquiring industrial data to be analyzed; the to-be-analyzed industry data comprises: appointing transaction information of each enterprise in the industry;
receiving a data analysis instruction;
based on transaction information in the industry data to be analyzed, data mining is carried out on the data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained;
and according to the preset network graph style and the enterprise relationship display quantity, drawing and displaying the industry network graph by taking the enterprises as nodes and taking the upstream and downstream relationships among the enterprises as edges.
The data analysis method and device for the industrial data and the data analysis server provided by the embodiment of the invention are applied to the data analysis server, and can be used for firstly obtaining the industrial data to be analyzed; then receiving a data analysis instruction; data mining is carried out on the data to be analyzed based on transaction information in the industry data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained; and displaying the quantity according to the preset network graph style and enterprise relationship, drawing and displaying the industry network graph by taking the enterprises as nodes and taking the upstream and downstream relationships among the enterprises as edges. Therefore, in the embodiment, data mining can be performed on the data to be analyzed based on the transaction information in the industry data to be analyzed, the upstream and downstream relations between the enterprises in the specified industry are obtained, and the industry network diagram is displayed, so that the problem that the relation between the enterprises in the specified industry cannot be analyzed in the prior art is solved.
Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of data analysis of industry data according to an embodiment of the present invention;
FIG. 2a is a schematic flow chart of data analysis of industry data according to an embodiment of the present invention;
FIG. 2b is a diagram illustrating a default expansion ratio selection dialog according to an embodiment of the present invention;
FIG. 2c is an industry network diagram in accordance with an embodiment of the present invention;
FIG. 3a is a diagram of a default query input dialog in an embodiment of the present invention;
FIG. 3b is a diagram illustrating a primary query result graph according to an embodiment of the present invention;
FIG. 3c is a diagram illustrating a secondary query result graph in an embodiment of the present invention;
FIG. 4a is a schematic flow chart of data analysis of industry data according to an embodiment of the present invention;
FIG. 4b is a schematic diagram illustrating the name and transaction statistics of a node and corresponding business when the cursor is moved to the location of the node in the industry network graph in accordance with an embodiment of the present invention;
FIG. 4c is a schematic diagram showing the names of two businesses connected by an edge and transaction statistics between the two businesses when the cursor is moved to a position of the edge of the industry network diagram in accordance with an embodiment of the present invention;
FIG. 5a is a schematic flow chart of data analysis of industry data according to an embodiment of the present invention;
FIG. 5b is a diagram of a Sophora base diagram of an enterprise corresponding to a clicked node according to an embodiment of the present invention;
FIG. 5c is a diagram illustrating another Sanguisorban diagram of an enterprise corresponding to a clicked node in accordance with an embodiment of the present invention;
FIG. 6 is a schematic flow chart of data analysis of industry data according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a data analysis apparatus for industrial data according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a data analysis server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to achieve the purpose that when the industry data of a specified industry is analyzed, the relationship among enterprises in the specified industry can be analyzed, the embodiment of the invention provides a data analysis method of the industry data, which is applied to a data analysis server; referring to fig. 1, the method includes:
s101: acquiring industrial data to be analyzed; the to-be-analyzed industry data comprises: appointing transaction information of each enterprise in the industry;
in a particular embodiment, the industry data to be analyzed may be obtained by:
enterprise data sent by client equipment of each enterprise in a specified industry is received; the enterprise data may include: enterprise identification information, bill information and cargo information;
and extracting transaction information of each enterprise in the designated industry based on the bill information and the goods information of each enterprise in the designated industry.
In another specific embodiment, the industry data to be analyzed may be obtained by:
acquiring bill information and goods information of each enterprise of all industries; the bill information can contain commodity codes of goods;
screening out bill information and goods information of each enterprise of the designated industry from bill information and goods information of each enterprise of all industries based on each preset commodity code of the designated industry;
and extracting transaction information of each enterprise in the designated industry based on the bill information and the goods information of each enterprise in the designated industry.
S102: receiving a data analysis instruction;
s103: data mining is carried out on the data to be analyzed based on transaction information in the industry data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained;
in a specific embodiment, the transaction information may include: a delivery enterprise identifier and a receiving enterprise identifier;
specifically, the sending enterprise may be determined as an upstream enterprise of the receiving enterprise based on the transaction information in the industry data to be analyzed.
S104: and according to the preset network graph style and the enterprise relationship display quantity, drawing and displaying the industry network graph by taking the enterprises as nodes and taking the upstream and downstream relationships among the enterprises as edges.
Specifically, it may be:
based on the transaction information of each enterprise in the designated industry, sequencing the enterprises from high to low according to the sale amount to obtain enterprises with the top-ranked enterprise relationship display quantity as the relationship enterprises to be displayed;
and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
As can be seen from the embodiment shown in fig. 1, the method provided in the embodiment of the present invention can perform data mining on the data to be analyzed based on the transaction information in the industry data to be analyzed, obtain the upstream and downstream relationships between the enterprises in the specified industry, and display an industry network diagram, thereby solving the problem that the prior art cannot analyze the relationships between the enterprises in the specified industry.
Referring to fig. 2a, based on the embodiment shown in fig. 1, in a specific embodiment, the method for analyzing industry data according to the embodiment of the present invention, after step S104, may further include:
s201: receiving an enterprise relation display data volume adjusting instruction; the display data amount adjusting instruction comprises a data amount adjusting proportion;
specifically, an adjustment button may be provided in the interface for displaying the industry network diagram, and when the adjustment button is detected to be triggered, an option box as shown in fig. 2b may be displayed.
As shown in fig. 2b, when it is detected that the user selects a certain expansion ratio in the preset expansion ratio selection dialog, the data size adjustment instruction for enterprise relationship display is received, where the expansion ratio selected by the user is the data size adjustment ratio.
The data volume adjustment proportion is an expansion adjustment proportion of the number of the to-be-displayed relation enterprises on the basis of the number of the enterprises owned by the specified industry.
S202: judging whether the data volume adjustment proportion in the display data volume adjustment instruction is 0 or not; if yes, executing step S203, if no, executing step S204;
s203: determining a preset standard enterprise as a relation enterprise to be displayed;
s204: based on the display data volume adjusting instruction, on the basis of the number of enterprises owned by the designated industry, the target enterprise relationship display number is determined according to the data volume adjusting proportion;
s205: sequencing the enterprises in the sequence of the number of the upstream and downstream enterprises of each enterprise in the specified industry from most to least based on the number of the upstream and downstream enterprises of each enterprise in the specified industry, or sequencing the enterprises in the sequence of the sales amount of the enterprises from high to low based on the transaction information of each enterprise in the specified industry;
s206: acquiring a plurality of enterprises with the target enterprise relationship display quantity arranged in front as the enterprise with the relationship to be displayed;
s207: according to the enterprise identification information, carrying out merging operation on a set containing the relation enterprises to be displayed and a set containing preset standard enterprises to obtain the relation enterprises to be displayed;
s208: and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
When the user selects the 0 expansion ratio in the preset industry network diagram display platform, that is, the industry network diagram when displaying the preset standard enterprise, the method can be shown as fig. 2 c.
In this embodiment, when the expansion ratio is 0, the to-be-displayed relationship enterprise may be a standard enterprise preset in advance, for example: enterprise a, enterprise B, and enterprise C. In one embodiment, the standards enterprise may be set in advance. In another embodiment, a dialog box may be provided to treat the business receiving the user input as a standard business. In this way, it is convenient to show the user the business relationships of the business that the user is interested in. In this embodiment, the data size displayed by the industry network diagram can be adjusted according to the setting of the user, and is more flexible than the common mode for displaying the fixed data size in the prior art, and the requirement of data analysis can be better met.
In this embodiment, when the expansion ratio is not 0, the ratio is adjusted according to the data amount based on the number of enterprises owned by the designated industry, and the target enterprise relationship display number is determined; the enterprises are sorted according to the sequence of the number of the upstream enterprises and the downstream enterprises of each enterprise in the appointed industry from most to few or according to the sequence of the sales amount of the enterprises from high to low on the basis of the transaction information of each enterprise in the appointed industry; acquiring a plurality of enterprises with the target enterprise relationship display quantity arranged in front as the enterprise with the relationship to be displayed; and according to the enterprise identification information, carrying out merging operation on the set containing the relation enterprises to be displayed and the set containing the preset standard enterprises to obtain the relation enterprises to be displayed. For example: if the number of enterprises owned by the designated industry is 100, after the expansion proportion of 5% is selected, the number of the target enterprise relation display is 100 × 5% — 5, the enterprises can be sorted according to the sequence of the number of the upstream and downstream enterprises of the enterprises from most to few, namely the enterprises are sorted according to the degree of a node in a network diagram, wherein the degree of the node refers to the number of edges connected with the node; the top 5 businesses were obtained: enterprise a, enterprise E, enterprise F, enterprise M, and enterprise N as a first set; taking a standard enterprise A, an enterprise B and an enterprise C as a second set; and performing OR operation on the first set and the second set to obtain the relation enterprise to be displayed: enterprise A, Enterprise B, Enterprise C, Enterprise E, Enterprise F, Enterprise M, and Enterprise N.
In other embodiments, the relation enterprises to be displayed may also be determined according to a preset enterprise list, where the order of the enterprises in the enterprise list may be based on the number of upstream and downstream enterprises of each enterprise in a specified industry, and the enterprises are ordered according to the order of the number of the upstream and downstream enterprises of the enterprise; or the enterprises can be ranked in the order of high to low sales amount based on the transaction information of each enterprise in the designated industry. In this embodiment, when the expansion ratio is 0, a preset standard number of enterprises arranged at the front may be selected from the enterprise list as the to-be-displayed relationship enterprises; for example, if the preset standard number is 3, the top 3 businesses can be selected from the business list as the to-be-displayed relationship businesses. If the number of the enterprises owned by the designated industry is 100, when the expansion ratio of 5% is selected, the top 5 enterprises can be selected from the enterprise list as the to-be-displayed relationship enterprises, and so on.
In a specific embodiment, the method for analyzing industry data provided in the embodiment of the present invention may further include:
receiving a first enterprise relation query instruction; the first enterprise relation query instruction comprises an enterprise identifier of a target enterprise;
specifically, a query dialog box may be provided in the interface displaying the industry network diagram, as shown in fig. 3a, where whether to perform a level 1 query or a level 2 query may be selected. The first enterprise relational query instruction in this embodiment is an instruction to perform a level 1 query.
Inquiring adjacent upstream and adjacent downstream enterprises of the target enterprise from the obtained upstream and downstream relations among the enterprises in the specified industry as a primary inquiry result;
and drawing and displaying the primary query result graph by taking the target enterprise as a central node and taking the upstream and downstream relation between the target enterprise and the enterprise in the primary query result as an edge according to a preset primary query result graph style.
In other embodiments, a second business relationship query instruction may also be received; the second enterprise relation query instruction comprises an enterprise identifier of a target enterprise;
as shown in fig. 3a, the level 2 query corresponds to a second business relationship query instruction.
After receiving a second enterprise relation query instruction, querying adjacent upstream and adjacent downstream enterprises of the target enterprise and adjacent upstream and adjacent downstream enterprises of the adjacent upstream and adjacent downstream enterprises from the obtained upstream and downstream relations among the enterprises in the specified industry as secondary query results;
and drawing and displaying a secondary query result graph by taking the target enterprise as a central node and taking the upstream and downstream relation between the target enterprise and the enterprise in the secondary query result as an edge according to a preset secondary query result graph style.
Specifically, as shown in fig. 3a, when it is detected that a name of an enterprise is input by a user in a preset query dialog box and a level 1 query in a preset query level is selected, the name of the enterprise input by the user is an enterprise identifier of a target enterprise; according to the first enterprise relational query instruction, a primary query result graph as shown in fig. 3b is drawn and displayed. In the figure, the target enterprise is a central node, and the upstream and downstream relationship between the target enterprise and the enterprise in the primary query result is an edge.
When detecting that a user inputs the name of a certain enterprise in a preset query dialog box and selects 2-level query in a preset query level, the name of the enterprise input by the user is an enterprise identifier of a target enterprise; according to the second enterprise relational query instruction, a secondary query result graph as shown in fig. 3c is drawn and displayed. In the figure, the target enterprise is a central node, and the upstream and downstream relationship between the target enterprise and the enterprise in the secondary search result is an edge.
In this embodiment, level 1 and/or level 2 queries may be performed, further meeting the need for data analysis.
In addition, considering that the names of some enterprises are very long and inconvenient to remember and inquire, the embodiment of the invention also utilizes an inverted index algorithm, and can realize that the enterprise names simultaneously containing the keywords are recommended according to the keywords input by the user; in practical application, the input keywords may be separated by spaces or input next to each other.
Referring to fig. 4a, based on the embodiment shown in fig. 1, in a specific embodiment, the method for analyzing industry data according to the embodiment of the present invention, after step S104, may further include:
s401: detecting the position of a cursor in an industry network graph displayed on a screen;
in this embodiment, in the interface for displaying the industry network diagram, a cursor may be displayed, and the cursor may move along with the user through a keyboard or a mouse or in a touch manner (in the case of a touch screen).
S402: when the cursor moves to the position of a node or an edge of the industry network diagram, transaction statistical data of enterprises corresponding to the node or the edge or transaction statistical data between two enterprises connected at the edge are displayed at the preset adjacent position of the node or the edge corresponding to the position of the cursor.
Specifically, referring to fig. 4b and 4c, respectively, as shown in fig. 4b, when the cursor is moved to the position of a certain node of the industry network diagram, the name and transaction statistics of the node and the corresponding business are displayed. As shown in fig. 4c, when the cursor moves to a position of a certain edge of the industry network diagram, the names of two businesses connected by the edge and the transaction statistics between the two businesses are displayed.
In the embodiment, the transaction statistical data can be displayed on the industry network graph according to the position of the cursor, so that the requirement of data analysis is further met.
Referring to fig. 5a, based on the embodiment shown in fig. 1, in a specific embodiment, the method for analyzing industry data according to the embodiment of the present invention, after step S104, may further include:
s501: receiving click instructions at nodes in an industry network diagram;
s502: judging whether a closed loop of a connecting line appears when a mulberry base graph is generated or not based on whether bidirectional transaction exists between the enterprise corresponding to the clicked node and other enterprises in the industry; if a closed loop of the connection line occurs, executing step S503; if no closed loop of the connecting line appears, executing step S504;
s503: taking the enterprise having bidirectional transaction with the clicked node as a downstream enterprise of the clicked node;
s504: and generating and displaying the morus base map.
In practical applications, because an interface provided by the existing Echarts (an open source visualization library implemented by using JavaScript language and used for drawing a visualization graph according to data) can only convert a relationship without a closed loop into a morse base graph, and when two enterprises have bidirectional transactions, a closed loop is formed in an upstream sub-network and a downstream sub-network, the morse base graph cannot be generated by using the existing Echarts.
The embodiment of the invention improves Echarts: when the point clicking node generates the mor-base map of the enterprise corresponding to the point clicking node, whether bidirectional transaction exists between the enterprise corresponding to the point clicking node and other enterprises in the industry is determined, if so, the enterprise having bidirectional transaction with the point clicking node is taken as a downstream enterprise of the point clicking node, so that a closed loop does not exist, and the mor-base map can be generated and displayed. Referring to the mor-base diagram shown in fig. 5b, in the mor-base diagram, the name of the enterprise corresponding to the clicked node, the names of the enterprises upstream and downstream of the enterprise corresponding to the clicked node, and the transaction fund outflow line of the enterprise corresponding to the clicked node may be displayed, wherein the enterprise corresponding to the clicked node is located in the middle of the mor-base diagram, the downstream enterprise thereof is located on the right side of the enterprise, the upstream enterprise thereof is located on the left side of the enterprise, and the width of the inflow line of the transaction fund indicates how much the transaction fund is. If there is a two-way transaction between Enterprise B and Enterprise D, as shown in FIG. 5B, then only Enterprise D is shown as a downstream Enterprise to Enterprise B.
In addition, functions can be added, and enterprises having bidirectional transaction with the clicked node are highlighted in the display interface, so that the user can be prompted that the enterprises have bidirectional transaction relation with the enterprises corresponding to the clicked node.
In a specific embodiment, a function may be added, when the cursor moves to a node of the mor-based graph or between the enterprise corresponding to the clicked node and its upstream enterprise or downstream enterprise, transaction statistics data of the enterprise corresponding to the node or between two nodes may be displayed at a preset position corresponding to the cursor position, or transaction statistics data between enterprises corresponding to two nodes, for example: referring to FIG. 5c, when the cursor is moved between Enterprise B and Enterprise D, the transaction statistics between Enterprise B and Enterprise D are displayed.
The method provided by the embodiment of the invention is further described in detail by taking a practical example as follows:
in this embodiment, where the industry is designated as the machine tool industry, referring to fig. 6, an embodiment of the present invention may include the steps of:
s601: acquiring bill information and goods information of each enterprise of all industries;
specifically, the bill information may be value-added tax invoice information.
The value-added tax invoice information can be obtained as follows: the invoice code, the invoice number, the invoicing date, the name of the purchaser, the name of the seller and the price tax are summed up; among the cargo information: invoice code, invoice number, goods name, unit price and goods code; establishing a connection relation between the value-added tax invoice information and the goods information according to the invoice codes and the invoice numbers in the value-added tax invoice information and the goods information;
s602: screening out bill information and cargo information of each enterprise of the machine tool industry from bill information and cargo information of each enterprise of all the industries based on each commodity code of the machine tool industry;
specifically, each commodity code of the machine tool industry is obtained, and bill information and cargo information of each enterprise of the machine tool industry are obtained from value-added tax invoices and cargo information based on each commodity code.
S603: based on the bill information and the goods information of each enterprise in the machine tool industry, extracting the transaction information of each enterprise in the machine tool industry; wherein, the transaction information includes: a delivery enterprise identifier and a receiving enterprise identifier;
s604: receiving a data analysis instruction;
s605: determining a delivery enterprise as an upstream enterprise of a receiving enterprise based on transaction information in machine tool industry data;
s606: based on the transaction information of each enterprise in the machine tool industry, sequencing the enterprises according to the sale amount from high to low to obtain the enterprises with the enterprise relationship display quantity arranged in the front as the enterprises to be displayed;
s607: according to a preset network graph style, drawing and displaying an industry network graph by taking each enterprise as a node and taking an upstream-downstream relationship between the enterprises to be displayed as an edge;
in practical application, enterprises in the industry can be classified according to the category of the sold commodities, for example, in the machine tool industry, the commodities sold in the industry are classified into three categories of a complete machine, a numerical control system and parts, and related enterprises can be classified into eight categories according to the category of the sold commodities: (1) only purchasing and not selling machine tool industry related commodities; (2) only selling the complete machine; (3) only the numerical control system is sold; (4) selling only parts; (5) selling a complete machine and a numerical control system; (6) selling complete machines and parts; (7) selling numerical control systems and parts; (8) selling complete machines, numerical control systems and parts. The enterprise network diagram can be displayed in different colors in a preset industry network diagram display platform according to the types of enterprises, so that the industry network diagram can be used more intuitively, and a user can conveniently know the types of the enterprises according to the colors of the enterprises.
In addition, a legend can be displayed in the preset direction of the industry network diagram display interface to assist in explaining the enterprise types represented by the colors, and in addition, new functions can be added: clicking a certain color description in the legend is used for controlling the enterprise of the type corresponding to the color to change from the hidden state to the display state or from the display state to the hidden state.
S608: receiving an enterprise relation display data volume adjusting instruction; the display data amount adjusting instruction comprises a data amount adjusting proportion;
s609: judging whether the data volume adjustment proportion in the display data volume adjustment instruction is 0 or not; if yes, executing step S610, if no, executing step S611;
s610: determining a preset standard enterprise as a relation enterprise to be displayed;
s611: sequencing the enterprises according to the sequence of the upstream and downstream enterprise numbers of the enterprises based on the upstream and downstream enterprise numbers of each enterprise in the machine tool industry;
s612: acquiring a plurality of enterprises with the target enterprise relationship display quantity arranged in front as the enterprise with the relationship to be displayed;
s613: according to the enterprise identification information, carrying out merging operation on a set containing the relation enterprises to be displayed and a set containing preset standard enterprises to obtain the relation enterprises to be displayed;
s614: and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
As can be seen from the embodiment shown in fig. 6, the method provided by the embodiment of the present invention can perform data mining on the data to be analyzed based on the transaction information in the industry data to be analyzed, obtain the upstream-downstream relationship between the enterprises in the specified industry, and display the industry network diagram, thereby solving the problem that the relationship between the enterprises in the specified industry cannot be analyzed in the prior art.
Corresponding to the embodiment shown in fig. 1, an embodiment of the present invention further provides a data analysis apparatus for industry data, which is applied to a data analysis server, and with reference to fig. 7, the apparatus includes:
an obtaining module 701, configured to obtain industry data to be analyzed; the industry data to be analyzed includes: appointing transaction information of each enterprise in the industry;
a receiving module 702, configured to receive a data analysis instruction;
the mining module 703 is configured to perform data mining on the data to be analyzed based on the transaction information in the industry data to be analyzed, so as to obtain an upstream-downstream relationship between enterprises in the specified industry;
and the drawing module 704 is used for drawing and displaying the industry network graph by taking the enterprises as nodes and taking the upstream and downstream relations between the enterprises as edges according to the preset network graph style and enterprise relation display quantity.
As can be seen from the embodiment shown in fig. 7, the device provided in the embodiment of the present invention can perform data mining on the data to be analyzed based on the transaction information in the industry data to be analyzed, obtain the upstream-downstream relationship between the enterprises in the designated industry, and display the industry network diagram, thereby solving the problem that the relationship between the enterprises in the designated industry cannot be analyzed in the prior art.
The embodiment of the present invention further provides a data analysis server, as shown in fig. 8, which includes a processor 801, a communication interface 802, a memory 803, and a communication bus 804, where the processor 801, the communication interface 802, and the memory 803 complete mutual communication through the communication bus 804,
a memory 803 for storing a computer program;
the processor 801 is configured to implement the following steps when executing the program stored in the memory 803:
acquiring industrial data to be analyzed; the industry data to be analyzed includes: appointing transaction information of each enterprise in the industry;
receiving a data analysis instruction;
data mining is carried out on the data to be analyzed based on transaction information in the industry data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained;
and (4) displaying the quantity according to preset network graph styles and enterprise relations, drawing and displaying the industry network graph by taking enterprises as nodes and taking upstream and downstream relations among the enterprises as edges.
As can be seen from the embodiment shown in fig. 8, the data analysis server provided in the embodiment of the present invention can perform data mining on data to be analyzed based on transaction information in the industry data to be analyzed, obtain an upstream-downstream relationship between enterprises in a specified industry, and display an industry network diagram, thereby solving the problem that the prior art cannot analyze the relationship between enterprises in the specified industry.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In yet another embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the data analysis method for any of the above-mentioned industry data.
In yet another embodiment, a computer program product containing instructions is provided, which when run on a computer, causes the computer to perform the method for data analysis of any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (9)
1. A data analysis method of industry data is applied to a data analysis server and comprises the following steps:
acquiring industrial data to be analyzed; the to-be-analyzed industry data comprises: appointing transaction information of each enterprise in the industry;
receiving a data analysis instruction;
based on transaction information in the industry data to be analyzed, data mining is carried out on the industry data to be analyzed, and the upstream and downstream relation among enterprises in the appointed industry is obtained;
displaying quantity according to preset network graph styles and enterprise relations, drawing and displaying an industry network graph by taking enterprises as nodes and taking upstream and downstream relations among the enterprises as edges;
receiving click commands at nodes in an industry network diagram;
judging whether a closed loop of a connecting line appears when the mulberry base graph is generated or not based on whether bidirectional transaction exists between the enterprise corresponding to the clicked node and other enterprises in the industry or not;
if closed loop of the connecting line appears, the enterprise having bidirectional transaction with the clicked node is used as a downstream enterprise of the clicked node;
and generating and displaying the morus base map.
2. The method of claim 1,
the step of obtaining the industry data to be analyzed comprises:
enterprise data sent by client equipment of each enterprise in a specified industry is received; the enterprise data comprises: enterprise identification information, bill information and cargo information;
based on the bill information and the goods information of each enterprise in the appointed industry, extracting the transaction information of each enterprise in the appointed industry; or the like, or, alternatively,
the step of obtaining the industry data to be analyzed comprises:
acquiring bill information and goods information of each enterprise of all industries; the bill information comprises commodity codes of goods;
screening out bill information and goods information of each enterprise of the designated industry from bill information and goods information of each enterprise of all industries based on each preset commodity code of the designated industry;
and extracting the transaction information of each enterprise in the designated industry based on the bill information and the goods information of each enterprise in the designated industry.
3. The method of claim 1,
the transaction information comprises: a delivery enterprise identifier and a receiving enterprise identifier;
the step of performing data mining on the industry data to be analyzed based on the transaction information in the industry data to be analyzed to obtain the upstream and downstream relationship among enterprises in the appointed industry comprises the following steps of:
and determining the delivery enterprise as an upstream enterprise of the receiving enterprise based on the transaction information in the to-be-analyzed industrial data.
4. The method of claim 1,
the method comprises the following steps of displaying quantity according to preset network graph styles and enterprise relations, drawing and displaying an industry network graph by taking enterprises as nodes and taking upstream and downstream relations among the enterprises as edges, wherein the steps comprise:
based on the transaction information of each enterprise in the designated industry, sequencing the enterprises according to the sale amount from high to low to obtain the enterprises with the front-ranked enterprise relationship display quantity as the to-be-displayed relationship enterprises;
and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
5. The method of claim 4, further comprising:
receiving an enterprise relation display data volume adjusting instruction; the display data amount adjusting instruction comprises a data amount adjusting proportion;
if the data volume adjustment proportion in the display data volume adjustment instruction is 0, determining a preset standard enterprise as a relation enterprise to be displayed;
if the data volume adjusting proportion in the display data volume adjusting instruction is not 0, determining the target enterprise relation display quantity according to the data volume adjusting proportion on the basis of the display data volume adjusting instruction and on the basis of the enterprise quantity owned by the designated industry;
sequencing the enterprises in the sequence of the number of the upstream and downstream enterprises of each enterprise in the specified industry from most to least based on the number of the upstream and downstream enterprises of each enterprise in the specified industry, or sequencing the enterprises in the sequence of the sales amount of the enterprises from high to low based on the transaction information of each enterprise in the specified industry;
acquiring a plurality of enterprises with the target enterprise relationship display quantity arranged in front as the enterprise with the relationship to be displayed;
according to the enterprise identification information, carrying out merging operation on the set containing the relation enterprises to be displayed and the set containing the preset standard enterprises to obtain the relation enterprises to be displayed;
and drawing and displaying the industry network diagram by taking each enterprise as a node and taking the upstream and downstream relations between the enterprises to be displayed as edges according to a preset network diagram style.
6. The method of claim 1, further comprising:
displaying a query dialog box in an interface for displaying the industry network diagram, and receiving a first enterprise relation query instruction through the query dialog box; the first enterprise relation query instruction comprises an enterprise identification of a target enterprise;
inquiring adjacent upstream and adjacent downstream enterprises of the target enterprise from the obtained upstream and downstream relations among the enterprises in the specified industry as a primary inquiry result;
drawing and displaying a primary query result graph by taking a target enterprise as a central node and taking an upstream-downstream relationship between the target enterprise and an enterprise in the primary query result as an edge according to a preset primary query result graph style; and/or the presence of a gas in the gas,
displaying a query dialog box in an interface for displaying the industry network diagram, and receiving a second enterprise relation query instruction through the query dialog box; the second enterprise relation query instruction comprises an enterprise identifier of a target enterprise;
querying adjacent upstream and adjacent downstream enterprises of the target enterprise and adjacent upstream and adjacent downstream enterprises of the adjacent upstream and adjacent downstream enterprises from the obtained upstream and downstream relations among the enterprises in the specified industry as secondary query results;
and drawing and displaying a secondary query result graph by taking the target enterprise as a central node and taking the upstream and downstream relation between the target enterprise and the enterprise in the secondary query result as an edge according to a preset secondary query result graph style.
7. The method of claim 1, further comprising:
detecting the position of a cursor in an industry network graph displayed on a screen;
when the cursor moves to the node or edge position of the industry network graph, transaction statistical data of the enterprise corresponding to the node or edge is displayed at the preset adjacent position of the node or edge corresponding to the cursor position, or the transaction statistical data between two enterprises connected at the edge.
8. The utility model provides a data analysis device of trade data which is applied to data analysis server, includes:
the acquisition module is used for acquiring the industrial data to be analyzed; the to-be-analyzed industry data comprises: appointing transaction information of each enterprise in the industry;
the receiving module is used for receiving a data analysis instruction;
the mining module is used for carrying out data mining on the to-be-analyzed industry data based on transaction information in the to-be-analyzed industry data to obtain the upstream-downstream relationship among enterprises in the specified industry;
the drawing module is used for drawing and displaying the industry network diagram according to the preset network diagram style and enterprise relationship display quantity, taking enterprises as nodes and taking upstream and downstream relationships among the enterprises as edges; receiving click instructions at nodes in an industry network diagram; judging whether a closed loop of a connecting line appears when the mulberry base graph is generated or not based on whether bidirectional transaction exists between the enterprise corresponding to the clicked node and other enterprises in the industry or not; if closed loop of the connecting line appears, the enterprise having bidirectional transaction with the clicked node is used as a downstream enterprise of the clicked node; and generating and displaying the morus base map.
9. A data analysis server is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing the communication between the processor and the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1 to 7 when executing a program stored in the memory.
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| CN111241347A (en) * | 2019-12-30 | 2020-06-05 | 北京邮电大学 | Graph database creating method, enterprise data query method and device |
| CN111382843B (en) * | 2020-03-06 | 2023-10-20 | 浙江网商银行股份有限公司 | Method and device for establishing enterprise upstream and downstream relationship identification model and mining relationship |
| CN112435052B (en) * | 2020-11-13 | 2023-11-28 | 海创汇科技创业发展股份有限公司 | Acquisition method, electronic equipment, computer readable storage medium and terminal of associated enterprises |
| CN112632975A (en) * | 2020-12-29 | 2021-04-09 | 北京明略软件系统有限公司 | Upstream and downstream relation extraction method and device, electronic equipment and storage medium |
| CN112767114A (en) * | 2021-02-26 | 2021-05-07 | 科大讯飞股份有限公司 | Enterprise diversified decision method and device, electronic equipment and storage medium |
| CN113282640A (en) * | 2021-05-20 | 2021-08-20 | 深圳中商产业研究院有限公司 | Data analysis method for industry data |
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