CN108197231A - The visualized graph interface methods of exhibiting and system of big data statistical form - Google Patents

The visualized graph interface methods of exhibiting and system of big data statistical form Download PDF

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Publication number
CN108197231A
CN108197231A CN201711471048.0A CN201711471048A CN108197231A CN 108197231 A CN108197231 A CN 108197231A CN 201711471048 A CN201711471048 A CN 201711471048A CN 108197231 A CN108197231 A CN 108197231A
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China
Prior art keywords
data
user
sequence information
country
statistical form
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CN201711471048.0A
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Chinese (zh)
Inventor
彭永超
冯鸣
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Innovation Of Unlimited Information Technology (wuhan) Ltd By Share Ltd
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Innovation Of Unlimited Information Technology (wuhan) Ltd By Share Ltd
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Priority to CN201711471048.0A priority Critical patent/CN108197231A/en
Publication of CN108197231A publication Critical patent/CN108197231A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A kind of visualized graph interface methods of exhibiting of big data statistical form, includes the following steps:S1, the log-on message for obtaining user, and extract from the log-on message of user the essential information data of user;S2, the sequence information for obtaining user, and the sequence information of user is arranged, and the number of users of same country is summarized;S3, the sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained;S4, the valid data of retention in a manner of particular diagram are shown, and is accordingly shown according to user's operation.The present invention also provides a kind of visualized graph interface display systems of big data statistical form.

Description

The visualized graph interface methods of exhibiting and system of big data statistical form
Technical field
The present invention relates to data visualization technique field, more particularly to a kind of visualized graph interface of big data statistical form Methods of exhibiting and system.
Background technology
It can not be realized in the prior art through visual graphical interfaces, user's shopping feature of every country is reflected Come, including at most buying category, user's entirety feature etc..
Invention content
In view of this, the present invention proposes a kind of the visualized graph interface methods of exhibiting and system of big data statistical form.
A kind of visualized graph interface methods of exhibiting of big data statistical form, includes the following steps:
S1, the log-on message for obtaining user, and extract from the log-on message of user the essential information data of user;
S2, the sequence information for obtaining user, and the sequence information of user is arranged, and to the number of users of same country Summarized;
S3, the sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained;
S4, the valid data of retention in a manner of particular diagram are shown, and is accordingly shown according to user's operation.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
The essential information data that user is extracted in the step S1 include:
Country, age, gender, affiliated industry, registered address, Buying Cycle, the monovalent field of visitor.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
The sequence information of user is obtained in the step S2, and the sequence information of user arrange and is included:
Obtain the sequence information of user, and parse from the sequence information of user the commodity category of user's purchase, quantity, The order amount of money, freight charges, destination country, the data for transporting the period.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
In the step S3 sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained Including:
The number of users of same country is carried out after summarizing all data, according to the total data of each index item, passes through calculation Method sets a standard value, and the data that will be less than the standard value are rejected, and data are carried out with cleaning for the first time and obtains cleaning for the first time Data afterwards;
Further according to the similarities and differences of the registered address and logistics address of user, the data after being cleaned to first time are cleaned again The valid data retained.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
The valid data of retention in a manner of particular diagram are shown in the step S4, and are carried out accordingly according to user's operation Display includes:
The valid data of retention are shown in a manner of particular diagram, centre display country, left side shows that user property is related Field, field that is right then showing buying behavior;
When mouse moves upper country, the key item line line for meeting state's user characteristics link is shown;
When acquisition user clicks country operation, detailed achievement data item is shown.
The present invention also provides a kind of visualized graph interface display systems of big data statistical form, including such as lower unit:
Log-on message acquiring unit for obtaining the log-on message of user, and extracts use from the log-on message of user The essential information data at family;
Sequence information acquiring unit for obtaining the sequence information of user, and arranges the sequence information of user, and The number of users of same country is summarized;
Data cleansing unit, it is effective for being retained to the sequence information data progress data cleansing twice after summarizing Data;
Unit is visualized, for the valid data of retention to be shown in a manner of particular diagram, and according to user's operation Accordingly shown.
In the visualized graph interface display systems of big data statistical form of the present invention,
The essential information data that user is extracted in the log-on message acquiring unit include:
Country, age, gender, affiliated industry, registered address, Buying Cycle, the monovalent field of visitor.
In the visualized graph interface display systems of big data statistical form of the present invention,
The sequence information of user is obtained in the sequence information acquiring unit, and arrangement packet is carried out to the sequence information of user It includes:
Obtain the sequence information of user, and parse from the sequence information of user the commodity category of user's purchase, quantity, The order amount of money, freight charges, destination country, the data for transporting the period.
In the visualized graph interface display systems of big data statistical form of the present invention,
Have in the data cleansing unit to what the sequence information data progress data cleansing twice after summarizing was retained Effect data include:
The number of users of same country is carried out after summarizing all data, according to the total data of each index item, passes through calculation Method sets a standard value, and the data that will be less than the standard value are rejected, and data are carried out with cleaning for the first time and obtains cleaning for the first time Data afterwards;
Further according to the similarities and differences of the registered address and logistics address of user, the data after being cleaned to first time are cleaned again The valid data retained.
In the visualized graph interface display systems of big data statistical form of the present invention,
The valid data of retention are shown in a manner of particular diagram, and according to user's operation in the visual presentation unit Corresponding display is carried out to include:
The valid data of retention are shown in a manner of particular diagram, centre display country, left side shows that user property is related Field, field that is right then showing buying behavior;
When mouse moves upper country, the key item line line for meeting state's user characteristics link is shown;
When acquisition user clicks country operation, detailed achievement data item is shown.
Implement the visualized graph interface methods of exhibiting of big data statistical form provided by the invention and system and the prior art Compared to having the advantages that:
User's shopping feature of every country can be reflected, by visual graphical interfaces including at most purchasing Buy category, user's entirety feature etc..The broad perspectives way of promotion for the state is determined with this.Because website is the use towards the whole world Family, so carrying out the mode of user's macroscopic view portrait, efficiency highest for country.It can be by cumbersome data statistics with very intuitive Mode show.
Description of the drawings
Fig. 1 is the visualized graph interface methods of exhibiting flow chart of the big data statistical form of the embodiment of the present invention;
Fig. 2 is the first present graphical interface of the embodiment of the present invention;
Fig. 3 is the second present graphical interface of the embodiment of the present invention.
Specific embodiment
As shown in Figures 1 to 3, a kind of visualized graph interface methods of exhibiting of big data statistical form, includes the following steps:
S1, the log-on message for obtaining user, and extract from the log-on message of user the essential information data of user;
S2, the sequence information for obtaining user, and the sequence information of user is arranged, and to the number of users of same country Summarized;
S3, the sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained;
S4, the valid data of retention in a manner of particular diagram are shown, and is accordingly shown according to user's operation.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
The essential information data that user is extracted in the step S1 include:
Country, age, gender, affiliated industry, registered address, Buying Cycle, the monovalent field of visitor.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
The sequence information of user is obtained in the step S2, and the sequence information of user arrange and is included:
Obtain the sequence information of user, and parse from the sequence information of user the commodity category of user's purchase, quantity, The order amount of money, freight charges, destination country, the data for transporting the period.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
In the step S3 sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained Including:
The number of users of same country is carried out after summarizing all data, according to the total data of each index item, passes through calculation Method sets a standard value, and the data that will be less than the standard value are rejected, and data are carried out with cleaning for the first time and obtains cleaning for the first time Data afterwards;
Further according to the similarities and differences of the registered address and logistics address of user, the data after being cleaned to first time are cleaned again The valid data retained.
In the visualized graph interface methods of exhibiting of big data statistical form of the present invention,
The valid data of retention in a manner of particular diagram are shown in the step S4, and are carried out accordingly according to user's operation Display includes:
The valid data of retention are shown in a manner of particular diagram, centre display country, left side shows that user property is related Field, field that is right then showing buying behavior;
When mouse moves upper country, the key item line line for meeting state's user characteristics link is shown;
When acquisition user clicks country operation, detailed achievement data item is shown.
The present invention also provides a kind of visualized graph interface display systems of big data statistical form, including such as lower unit:
Log-on message acquiring unit for obtaining the log-on message of user, and extracts use from the log-on message of user The essential information data at family;
Sequence information acquiring unit for obtaining the sequence information of user, and arranges the sequence information of user, and The number of users of same country is summarized;
Data cleansing unit, it is effective for being retained to the sequence information data progress data cleansing twice after summarizing Data;
Unit is visualized, for the valid data of retention to be shown in a manner of particular diagram, and according to user's operation Accordingly shown.
In the visualized graph interface display systems of big data statistical form of the present invention,
The essential information data that user is extracted in the log-on message acquiring unit include:
Country, age, gender, affiliated industry, registered address, Buying Cycle, the monovalent field of visitor.
In the visualized graph interface display systems of big data statistical form of the present invention,
The sequence information of user is obtained in the sequence information acquiring unit, and arrangement packet is carried out to the sequence information of user It includes:
Obtain the sequence information of user, and parse from the sequence information of user the commodity category of user's purchase, quantity, The order amount of money, freight charges, destination country, the data for transporting the period.
In the visualized graph interface display systems of big data statistical form of the present invention,
Have in the data cleansing unit to what the sequence information data progress data cleansing twice after summarizing was retained Effect data include:
The number of users of same country is carried out after summarizing all data, according to the total data of each index item, passes through calculation Method sets a standard value, and the data that will be less than the standard value are rejected, and data are carried out with cleaning for the first time and obtains cleaning for the first time Data afterwards;
Further according to the similarities and differences of the registered address and logistics address of user, the data after being cleaned to first time are cleaned again The valid data retained.
In the visualized graph interface display systems of big data statistical form of the present invention,
The valid data of retention are shown in a manner of particular diagram, and according to user's operation in the visual presentation unit Corresponding display is carried out to include:
The valid data of retention are shown in a manner of particular diagram, centre display country, left side shows that user property is related Field, field that is right then showing buying behavior;
When mouse moves upper country, the key item line line for meeting state's user characteristics link is shown;
When acquisition user clicks country operation, detailed achievement data item is shown.
Implement the visualized graph interface methods of exhibiting of big data statistical form provided by the invention and system and the prior art Compared to having the advantages that:
User's shopping feature of every country can be reflected, by visual graphical interfaces including at most purchasing Buy category, user's entirety feature etc..The broad perspectives way of promotion for the state is determined with this.Because website is the use towards the whole world Family, so carrying out the mode of user's macroscopic view portrait, efficiency highest for country.It can be by cumbersome data statistics with very intuitive Mode show.
It is understood that for those of ordinary skill in the art, it can be conceived with the technique according to the invention and done Go out other various corresponding changes and deformation, and all these changes and deformation should all belong to the protection model of the claims in the present invention It encloses.

Claims (10)

1. a kind of visualized graph interface methods of exhibiting of big data statistical form, which is characterized in that it includes the following steps:
S1, the log-on message for obtaining user, and extract from the log-on message of user the essential information data of user;
S2, the sequence information for obtaining user, and the sequence information of user is arranged, and the number of users of same country is carried out Summarize;
S3, the sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained;
S4, the valid data of retention in a manner of particular diagram are shown, and is accordingly shown according to user's operation.
2. the visualized graph interface methods of exhibiting of big data statistical form as described in claim 1, which is characterized in that
The essential information data that user is extracted in the step S1 include:
Country, age, gender, affiliated industry, registered address, Buying Cycle, the monovalent field of visitor.
3. the visualized graph interface methods of exhibiting of big data statistical form as described in claim 1, which is characterized in that
The sequence information of user is obtained in the step S2, and the sequence information of user arrange and is included:
The sequence information of user is obtained, and the commodity category, quantity, order of user's purchase are parsed from the sequence information of user The amount of money, freight charges, destination country, the data for transporting the period.
4. the visualized graph interface methods of exhibiting of big data statistical form as described in claim 1, which is characterized in that
In the step S3 sequence information data after summarizing are carried out with the valid data that data cleansing twice is retained to include:
The number of users of same country is carried out after summarizing all data, according to the total data of each index item, by algorithm, if A fixed standard value, the data that will be less than the standard value are rejected, and data are carried out with cleaning for the first time and is obtained after cleaning for the first time Data;
Further according to the similarities and differences of the registered address and logistics address of user, the data after being cleaned to first time carry out cleaning again and obtain The valid data of retention.
5. the visualized graph interface methods of exhibiting of big data statistical form as claimed in claim 4, which is characterized in that
The valid data of retention in a manner of particular diagram are shown in the step S4, and are accordingly shown according to user's operation Including:
The valid data of retention are shown in a manner of particular diagram, centre display country, left side shows the relevant word of user property Section, field that is right then showing buying behavior;
When mouse moves upper country, the key item line line for meeting state's user characteristics link is shown;
When acquisition user clicks country operation, detailed achievement data item is shown.
6. a kind of visualized graph interface display systems of big data statistical form, which is characterized in that it includes such as lower unit:
Log-on message acquiring unit for obtaining the log-on message of user, and extracts user's from the log-on message of user Essential information data;
Sequence information acquiring unit for obtaining the sequence information of user, and arranges, and to same the sequence information of user The number of users of one country is summarized;
Data cleansing unit, for the sequence information data after summarizing to be carried out with the significant figure that data cleansing twice is retained According to;
Unit is visualized, for the valid data of retention to be shown in a manner of particular diagram, and is carried out according to user's operation Corresponding display.
7. the visualized graph interface display systems of big data statistical form as claimed in claim 6, which is characterized in that
The essential information data that user is extracted in the log-on message acquiring unit include:
Country, age, gender, affiliated industry, registered address, Buying Cycle, the monovalent field of visitor.
8. the visualized graph interface display systems of big data statistical form as claimed in claim 6, which is characterized in that
The sequence information of user is obtained in the sequence information acquiring unit, and the sequence information of user arrange and is included:
The sequence information of user is obtained, and the commodity category, quantity, order of user's purchase are parsed from the sequence information of user The amount of money, freight charges, destination country, the data for transporting the period.
9. the visualized graph interface display systems of big data statistical form as claimed in claim 6, which is characterized in that
In the data cleansing unit sequence information data after summarizing are carried out with the significant figure that data cleansing twice is retained According to including:
The number of users of same country is carried out after summarizing all data, according to the total data of each index item, by algorithm, if A fixed standard value, the data that will be less than the standard value are rejected, and data are carried out with cleaning for the first time and is obtained after cleaning for the first time Data;
Further according to the similarities and differences of the registered address and logistics address of user, the data after being cleaned to first time carry out cleaning again and obtain The valid data of retention.
10. the visualized graph interface display systems of big data statistical form as claimed in claim 9, which is characterized in that
The valid data of retention in a manner of particular diagram are shown in the visual presentation unit, and are carried out according to user's operation Corresponding display includes:
The valid data of retention are shown in a manner of particular diagram, centre display country, left side shows the relevant word of user property Section, field that is right then showing buying behavior;
When mouse moves upper country, the key item line line for meeting state's user characteristics link is shown;
When acquisition user clicks country operation, detailed achievement data item is shown.
CN201711471048.0A 2017-12-28 2017-12-28 The visualized graph interface methods of exhibiting and system of big data statistical form Pending CN108197231A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110569298A (en) * 2019-09-12 2019-12-13 成都中科大旗软件股份有限公司 data docking and visualization method and system

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Publication number Priority date Publication date Assignee Title
CN102479242A (en) * 2010-11-30 2012-05-30 英业达股份有限公司 System and method for displaying query result by relational graph
CN104933664A (en) * 2015-06-19 2015-09-23 中国铁道科学研究院电子计算技术研究所 Passenger ticket data visualization method
CN105760446A (en) * 2016-02-03 2016-07-13 杭州驭猫科技有限公司 Big data analysis method for shopping website
CN106406915A (en) * 2016-11-18 2017-02-15 北京小度信息科技有限公司 Interface display method and device
KR20170106684A (en) * 2016-03-14 2017-09-22 윤동환 System for overseas direct purchase based on big data
CN107330045A (en) * 2017-06-28 2017-11-07 携程旅游网络技术(上海)有限公司 The big data visual analysis method and system of plane ticket booking platform

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102479242A (en) * 2010-11-30 2012-05-30 英业达股份有限公司 System and method for displaying query result by relational graph
CN104933664A (en) * 2015-06-19 2015-09-23 中国铁道科学研究院电子计算技术研究所 Passenger ticket data visualization method
CN105760446A (en) * 2016-02-03 2016-07-13 杭州驭猫科技有限公司 Big data analysis method for shopping website
KR20170106684A (en) * 2016-03-14 2017-09-22 윤동환 System for overseas direct purchase based on big data
CN106406915A (en) * 2016-11-18 2017-02-15 北京小度信息科技有限公司 Interface display method and device
CN107330045A (en) * 2017-06-28 2017-11-07 携程旅游网络技术(上海)有限公司 The big data visual analysis method and system of plane ticket booking platform

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110569298A (en) * 2019-09-12 2019-12-13 成都中科大旗软件股份有限公司 data docking and visualization method and system
CN110569298B (en) * 2019-09-12 2023-03-24 成都中科大旗软件股份有限公司 Data docking and visualization method and system

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Application publication date: 20180622

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