CN113420194A - Method and system for displaying data - Google Patents
Method and system for displaying data Download PDFInfo
- Publication number
- CN113420194A CN113420194A CN202110495342.5A CN202110495342A CN113420194A CN 113420194 A CN113420194 A CN 113420194A CN 202110495342 A CN202110495342 A CN 202110495342A CN 113420194 A CN113420194 A CN 113420194A
- Authority
- CN
- China
- Prior art keywords
- data
- token
- auth
- report
- authority
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000001914 filtration Methods 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 description 13
- 238000004458 analytical method Methods 0.000 description 9
- 238000013079 data visualisation Methods 0.000 description 9
- 238000011160 research Methods 0.000 description 8
- 238000012800 visualization Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 230000000007 visual effect Effects 0.000 description 6
- 238000013461 design Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 2
- 235000014510 cooky Nutrition 0.000 description 2
- 230000014509 gene expression Effects 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 244000035744 Hura crepitans Species 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000011985 exploratory data analysis Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012946 outsourcing Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000007794 visualization technique Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/45—Structures or tools for the administration of authentication
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Storage Device Security (AREA)
Abstract
The invention discloses a method and a system for displaying data. The method comprises the following steps: when a third-party system generates a page for displaying data, the report service platform sends an auth _ token including authority authentication information to the third-party system, page embedding access is carried out by using an iframe embedding mode, and the third-party system generates an access url according to the auth _ token; the report service platform carries out authority authentication according to the auth _ token of the url, assembles a data query statement through a pre-configured user template, and returns a corresponding data report page for a corresponding user; and providing a corresponding data report page according to the version information of the third-party system and changing the operation mode into the operation mode according with the version information.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method and a system for displaying data.
Background
The access of people to information is very limited, and more than 80% of the information we obtain from the outside comes from the visual system. When data is presented in the form of a visual chart through a visualization tool, people can more concisely and clearly recognize the characteristics of the graph and convert the characteristics into designated information. The data visualization report is that after data analysis personnel use data and analyze the data, the analysis results need to be presented to different people in various chart forms, the presented contents are different, such as a pie chart, a bar chart, a graph, a perspective view and the like, and the presentation mode needs to be diversified, such as a client, a mobile phone app, a web end and system integration. The content and different presentation modes can provide visual and clear data display for the data.
The visual chart is an intuitive data presentation mode, and the operation process of a unit, a company, an enterprise and the like is intuitively fed back by data to realize the operation problem. Based on digital operation concepts such as operation growth, user operation, transaction records and growth trend, enterprise data can be seamlessly butted, full-link data index output is carried out, the enterprise and the user are helped to rapidly analyze the current operation situation, data driving is achieved, and service boosting is increased.
To better utilize big data, many foreign known universities such as the massachusetts institute of technology, harvard university, all have big data visualization as a research topic. The research team at the massachusetts institute of technology, specializing in the visualization of urban information, has published 744 widely cited papers. Ongoing projects of stanford include new languages for interactive visualization, theoretical models, exploratory analysis and design tools, perceptual experiments to assess the effectiveness of visualization, and visualization analysis systems for large-scale text analysis, demographic genomics, and other fields to advance the development of data visualization tools.
Many universities in china have also established relevant data visualization tool research teams, such as the Beijing university visualization and visualization analysis research group, the Zhejiang university visualization analysis research group, and the like. In addition to academic research institutions, businesses, media, individuals, and studios are actively involved in data visualization research, particularly with new media. They spontaneously began attempting to present data to the target audience through the narrative. With the development of data visualization tool research, many scholars in China write a summary paper about big data visualization. The basic theory supporting the big data visualization analysis through analysis comprises an analysis process supporting a cognitive theory, an information visualization theory and a human-computer interaction user interface, and the big data information visualization technology discussed on the basis is applied to mainstream: text-oriented, web, temporal and spatial, multi-dimensional visualization techniques.
Although the existing data visualization platform has a relatively comprehensive presentation form and presentation content, excessive design and technical support is not made on the data presentation level. The method is mainly embodied in the following two aspects:
1. report capacity outsourcing
Most of the existing data analysis report tools are single platforms, data report viewing and accessing are carried out after login, and the existing data analysis report tools cannot be self-adaptive to a pc end and a mobile phone end.
2. Authority management and control
1) For different users, different report panels are required to be made by the conventional report service, and the workload of data analysts and report makers is increased. And the data rights of users cannot be effectively isolated under the same type of users.
2) When the data viewing authority is set, the user needs to input an account password to log in and then accesses the data, and the data viewing authority cannot be effectively integrated in other applications or services.
Disclosure of Invention
In view of the above problems in the related art, the present invention provides a method and system for displaying data.
According to an aspect of the present invention, there is provided a method of presenting data, comprising: when a third-party system generates an embedded page for displaying data, the report service platform sends an auth _ token (authentication token) comprising authority authentication information to the third-party system; performing page embedding access by using an iframe embedding mode, and generating an access url by a third-party system according to an auth _ token, wherein the iframe embedding mode uses a header comprising the auth _ token to transmit authority authentication information; the report service platform carries out authority authentication according to the auth _ token of the url, assembles a data query statement through a pre-configured user template, and returns a corresponding data report page for a corresponding user; and providing a corresponding data report page according to the version information of the third-party system and changing the operation mode into the operation mode according with the version information.
According to the embodiment of the invention, the user template is a jinja template using python technology, so that different users can only see data of own authority according to identity information during data query.
According to an embodiment of the invention, the method of presenting data further comprises: and self-defining parameters of the jinja template to perform screening and filtering corresponding to the parameters on the data.
According to the embodiment of the invention, the authority authentication information of the auth _ token comprises the graph authority and the data authority of the graph, and after the authentication is successful, a data query statement is assembled by configuring the jinja template of the user, so as to return different data report pages for different users.
According to the embodiment of the invention, the operation mode at least comprises at least one of time selection, a drop-down box and a single-selection multi-selection mode.
According to another aspect of the invention, a system for displaying data is provided and comprises a third party system and a report service platform. When a third-party system generates a page for displaying data, the report service platform sends an auth _ token (authentication token) comprising authority authentication information to the third-party system; performing page embedding access by using an iframe embedding mode, and generating an access url by a third-party system according to an auth _ token, wherein the iframe embedding mode uses a header comprising the auth _ token to transmit authority authentication information; the report service platform carries out authority authentication according to the auth _ token of the url, assembles a data query statement through a pre-configured user template, and returns a corresponding data report page for a corresponding user; and providing a corresponding data report page according to the version information of the third-party system and changing the operation mode into the operation mode according with the version information.
According to the embodiment of the invention, the user template is a jinja template using python technology, so that different users can only see data of own authority according to identity information during data query.
According to an embodiment of the present invention, the report service platform is further configured to: and self-defining parameters of the jinja template to perform screening and filtering corresponding to the parameters on the data.
According to the embodiment of the invention, the authority authentication information of the auth _ token comprises the graph authority and the data authority of the graph, and after the authentication is successful, a data query statement is assembled by configuring the jinja template of the user, so as to return different data report pages for different users.
According to an embodiment of the invention, the mode of operation includes at least a time selection and a drop-down box.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method of presenting data according to an embodiment of the invention.
FIG. 2 is a flow chart illustrating a method of presenting data according to an embodiment of the invention.
FIG. 3A shows a schematic diagram of a configuration scheme; fig. 3B shows a schematic illustration of the presentation.
FIG. 4A shows a schematic diagram of data presentation at the PC side; fig. 4B shows a schematic diagram of data presentation at the app side of the cell phone.
FIG. 5 is an architectural design for implementing the method of data presentation 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 that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
In view of the problems and deficiencies of the prior art, the present invention provides a method for presenting data. FIG. 1 is a flow chart of a method of presenting data according to an embodiment of the invention. As shown in fig. 1, the method for displaying data of the present invention includes the following steps:
s12, when the third-party system generates the page for displaying the data, the report service platform sends auth _ token including the authority authentication information to the third-party system.
S14, page embedding access is carried out by using an iframe embedding mode, and a third-party system generates an access url (uniform resource locator) according to the auth _ token. Wherein the iframe embedding mode uses a header comprising the auth _ token to transfer the authority authentication information.
S16, the report service platform authenticates the authority according to the auth _ token of url, assembles the data query statement through the pre-configured user template, and returns the corresponding data report page for the corresponding user.
And S18, providing a corresponding data report page according to the version information (such as a PC browser and a mobile phone app) of the third-party system, and changing the operation mode into the operation mode according with the version information.
According to the technical scheme, the web display is carried out in a URL direct access mode, the verification parameters are analyzed after the URL is obtained, the user permission judgment, the report form permission judgment, the data source judgment and the data filtering are carried out, then the display page is assembled and returned to the user for display, and the problems of user login, cross-domain, adaptation and the like are solved. Therefore, a convenient embedded report display tool is provided, and the report display tool can be seamlessly embedded into other services or applications to solve the problem of page self-adaption of the PC and the app. The authority of different personnel (such as different personnel of managers, report development, report viewing and the like) is hierarchically processed, report isolation and data authority isolation are provided for different viewing personnel, and the data service capability of authority management and control is improved for a user.
Fig. 2 is a schematic flow diagram according to an embodiment of the present invention. The method of data presentation of the present invention is described in detail below with reference to fig. 2.
First, a preliminary preparation work may be performed. At this time, according to the data requirement, an analyst can analyze the data, develop a data result, and configure a jinja template according to the viewing rule of a report viewing requirement configuration worker, so as to generate a visual data report. The jinja template can ensure that different users only see data of the own authority according to the identity information during data query.
Specifically, parameter variables can be customized by using a jinja template of python when a data report is made, a current login user can be represented by { { cache _ key _ wrapper (current _ user ()) } } when a data source is queried, and the data can be screened and filtered by using the condition as a parameter when different data are processed.
In addition, the jinja template can be customized, and more parameter configurations, filtering conditions and the like are supported. Such as: the selected time period may be obtained as follows:
further, more complex requirements may be handled using technical expressions, such as presenting different types of charts. The parameter template is customized using the expression { }. The data parameters may be obtained from the system or context.
If the system index zb parameter is obtained from the filter _ values, the following example:
SELECT, case, hen { { "'" + ",'". join (filter _ values ('zb')) + ", '" transaction amount' the total _ trans _ amt hen { "+", '". j" (filter _ values (' zb ')) + ",'" j "(filter _ values ('zb')) +") and'"transaction amount' the total _ trans _ cnt end as trans _ metrics, case, hen {" "former" + ", '" j "(filter _ values (' zb ')) +") and "} } transaction amount' the 'hen {" pr' "+", '"j" (filter _ values') + ",". transaction amount 'the' transaction amount 'the { "transaction amount' +", "" transaction amount '+ ",". j "(filter _ values') +". prime \\\ value ') and' 'transaction amount' the transaction amount 'lead _ length'. By way of example, FIG. 3A shows a schematic diagram of a configuration scheme; fig. 3B shows a schematic illustration of the presentation.
Then, referring to fig. 2, an embedded page url request is made. When the third-party system (the embedding party front end) generates the embedded page for the user, the report service platform (the embedding party back end and the data cube) can be called to obtain and generate the information with authority authentication auth _ token through steps S202, S204 and S206.
In one embodiment, at step S208, the third party system may make page embedding access in the form of < iframe src ═ https:// ip: port/iframe/{ auth _ token } ">. And the data report is displayed in the application or service of the customer service.
The invention uses the iframe embedding mode to embed data, however, the iframe data is embedded with a cross-domain scheme with a serious table at present, especially in the information authentication process, information such as cookie and session can not be transmitted, and the information of the user can not be effectively verified. Therefore, in order to solve the problem of data cross-domain, the invention uses the header to transmit the sensitive information in combination with the self-defined auth _ token verification mode, as shown in the following, so that the data security and the report embedded access can be ensured.
And then, the third-party system performs front-end embedded data display. In step S210, the third party generates an access url according to the auth _ token containing the authority authentication information, so as to perform a report request of the data report platform, that is, access the report page. At step S210, the report platform backend performs auth _ token authority authentication. The authentication information of the auth _ token comprises chart authority and data authority of the chart. And after the authentication is successful, assembling a data query statement through the configured user jinja template, and returning different data report pages for different users.
Finally, at step S212, adaptive data presentation is performed. Here, the user can embed the page in different applications or services, and the returned page supports access of the PC web and the mobile app, and provides different pages according to different types of access modes, so as to achieve a data self-adaptive situation. The existing adaptive technology only adjusts the page size and the position layout adaptively, but does not adapt to the APP at the level of the control (time selection, drop-down frame, single selection and multiple selection, etc.). The self-adaptation of the data magic cube integrates the layout self-adaptation, presents a better visual effect, carries out secondary adaptation development on the operation control, and carries out customized configuration according to the version information of the acquisition system and the condition of the browser or the APP. And changing the operation mode into the operation mode commonly used by APP. As an example, fig. 4A shows a schematic diagram of data presentation at the PC side. Fig. 4B shows a schematic diagram of data presentation at the app side of the cell phone.
FIG. 5 is an architectural design for implementing the method of data presentation of the present invention. As shown in fig. 5, the architecture design includes a management unit, a rights management unit, a user management unit, a data source management unit, and a data reporting module management unit. And, three major pairs of external data layers, a configuration layer (represented by a configuration data source), a permission layer (represented by a permission management interface), and a report embedding layer (represented by cross-application embedding), are abstracted from the module.
The management unit has the functions of user group management, authority management, report making and the like. The functions of rights management include user group rights. The functions of the user module comprise an administrator user, a configuration user and a report viewing user. The data source management function comprises data management of source data configuration and report viewing users. The data report module has the functions of configuring user analysis data, generating reports and viewing reports by a report viewing user. Further, block 50 may be used to implement the above-described method of presenting data of the present invention.
According to another aspect of the present invention there is provided a system for presenting data for use in forming a method of presenting data as described above. The system may include a third party system and a reporting service platform. When a third-party system generates a page for displaying data, the report service platform sends auth _ token comprising authority authentication information to the third-party system; the third-party system generates an access url according to the auth _ token; and the report service platform performs authority authentication according to the auth _ token of the url, assembles a data query statement through a pre-configured user template, and returns a corresponding data report page for a corresponding user. And providing a corresponding data report page according to the version information of the third-party system and changing the operation mode into the operation mode according with the version information.
In summary, the invention has the following benefits:
1. data permission filtering jinja configuration implementation scheme
Jinja is a template engine under Python, and is mainly used for sandbox execution functions and optional auto-escaping functions. The invention mainly uses the automatic escape function of jinja to realize the diversification of data parameter transmission, brings identity information in data query, and ensures that the data seen by different people only has data with own authority.
2. Solution of web embedded cross-domain problem
The conventional web embedding cannot transfer the cookie problem and cannot perform authority authentication operation in the embedded page. The method solves the authority authentication of the embedded page by using a header and a self-defined auto _ token verification mode, and solves the cross-domain problem during embedding.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method of presenting data, comprising:
when a third-party system generates an embedded page for displaying data, a report service platform sends an auth _ token (authentication token) comprising authority authentication information to the third-party system;
performing page embedding access by using an iframe embedding mode and generating an access url by the third-party system according to the auth _ token, wherein the iframe embedding mode uses a header comprising the auth _ token to transmit the authority authentication information;
the report service platform carries out authority authentication according to the auth _ token of url, assembles a data query statement through a jinja template of a preset python technology, and returns a corresponding data report page for a corresponding user, wherein the jinja template ensures that different users only see data of own authority according to identity information during data query;
and providing a corresponding data report page according to the version information of the third-party system and changing the operation mode into the operation mode according with the version information.
2. The method of claim 1, further comprising:
and self-defining parameters of the jinja template to perform screening and filtering corresponding to the parameters on the data.
3. The method for displaying data as claimed in claim 2, wherein the jinja template indicates the current login user during data source query, and the current login user is used as a parameter during different data processing to filter data.
4. The method for displaying data as claimed in claim 2, wherein the authority authentication information of the auth _ token includes graph authority and data authority of a graph, and after authentication is successful, a data query statement is assembled by configuring the jinja template of a user, so as to return different data report pages for different users.
5. The method of claim 1, wherein the operation mode comprises at least one of a time selection mode, a drop-down box mode and a single-selection multiple-selection mode.
6. A system for displaying data is characterized by comprising a third party system and a report service platform,
when the third-party system generates a page for displaying data, the report service platform sends an auth _ token (authentication token) comprising authority authentication information to the third-party system;
performing page embedding access by using an iframe embedding mode and generating an access url by the third-party system according to the auth _ token, wherein the iframe embedding mode uses a header comprising the auth _ token to transmit the authority authentication information;
the report service platform carries out authority authentication according to the auth _ token of url, assembles a data query statement through a jinja template of a preset python technology, and returns a corresponding data report page for a corresponding user, wherein the jinja template ensures that different users only see data of own authority according to identity information during data query;
and providing a corresponding data report page according to the version information of the third-party system and changing the operation mode into the operation mode according with the version information.
7. The system for presenting data as recited in claim 6,
the report service platform is further used for: and self-defining parameters of the jinja template to perform screening and filtering corresponding to the parameters on the data.
8. The system for displaying data as claimed in claim 7, wherein the jinja template indicates the current login user during data source query, and the current login user is used as a parameter during different data processing to filter the data.
9. The system for displaying data of claim 7, wherein the authority authentication information of the auth _ token includes graph authority and data authority of a graph, and after authentication is successful, a data query statement is assembled by configuring the jinja template of a user, so as to return different data report pages for different users.
10. The system for presenting data as recited in claim 6, wherein the operational mode includes at least a time selection and drop-down box.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110495342.5A CN113420194A (en) | 2021-05-07 | 2021-05-07 | Method and system for displaying data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110495342.5A CN113420194A (en) | 2021-05-07 | 2021-05-07 | Method and system for displaying data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113420194A true CN113420194A (en) | 2021-09-21 |
Family
ID=77712154
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110495342.5A Pending CN113420194A (en) | 2021-05-07 | 2021-05-07 | Method and system for displaying data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113420194A (en) |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150134694A1 (en) * | 2011-09-06 | 2015-05-14 | Shl Group Ltd | Analytics |
CN104965868A (en) * | 2015-06-09 | 2015-10-07 | 广西中烟工业有限责任公司 | Data inquiring and analyzing system and method based on WeChat public platform |
US9560110B1 (en) * | 2013-08-27 | 2017-01-31 | Google Inc. | Synchronizing shared content served to a third-party service |
CN108769041A (en) * | 2018-06-06 | 2018-11-06 | 深圳壹账通智能科技有限公司 | Login method, system, computer equipment and storage medium |
CA3113639A1 (en) * | 2018-09-21 | 2020-03-26 | Jpmorgan Chase Bank, N.A. | Pre-built user interface for payment system and method |
CN110955600A (en) * | 2019-11-27 | 2020-04-03 | 中国银行股份有限公司 | Interface test method and device |
CN111224819A (en) * | 2019-12-30 | 2020-06-02 | 上海汇付数据服务有限公司 | Distributed messaging system |
CN111597060A (en) * | 2020-05-21 | 2020-08-28 | 苏州朗动网络科技有限公司 | Data calling method and device, computer equipment and storage medium |
CN111934886A (en) * | 2020-07-29 | 2020-11-13 | 天元大数据信用管理有限公司 | RSA-based credit investigation report unified display method |
CN112347748A (en) * | 2020-11-26 | 2021-02-09 | 北京百家科技集团有限公司 | Data report generation method and device, computer equipment and readable storage medium |
US20210089713A1 (en) * | 2019-09-25 | 2021-03-25 | Jpmorgan Chase Bank, N.A. | System and method for implementing an automatic data collection and presentation generator module |
-
2021
- 2021-05-07 CN CN202110495342.5A patent/CN113420194A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150134694A1 (en) * | 2011-09-06 | 2015-05-14 | Shl Group Ltd | Analytics |
US9560110B1 (en) * | 2013-08-27 | 2017-01-31 | Google Inc. | Synchronizing shared content served to a third-party service |
CN104965868A (en) * | 2015-06-09 | 2015-10-07 | 广西中烟工业有限责任公司 | Data inquiring and analyzing system and method based on WeChat public platform |
CN108769041A (en) * | 2018-06-06 | 2018-11-06 | 深圳壹账通智能科技有限公司 | Login method, system, computer equipment and storage medium |
CA3113639A1 (en) * | 2018-09-21 | 2020-03-26 | Jpmorgan Chase Bank, N.A. | Pre-built user interface for payment system and method |
US20210089713A1 (en) * | 2019-09-25 | 2021-03-25 | Jpmorgan Chase Bank, N.A. | System and method for implementing an automatic data collection and presentation generator module |
CN110955600A (en) * | 2019-11-27 | 2020-04-03 | 中国银行股份有限公司 | Interface test method and device |
CN111224819A (en) * | 2019-12-30 | 2020-06-02 | 上海汇付数据服务有限公司 | Distributed messaging system |
CN111597060A (en) * | 2020-05-21 | 2020-08-28 | 苏州朗动网络科技有限公司 | Data calling method and device, computer equipment and storage medium |
CN111934886A (en) * | 2020-07-29 | 2020-11-13 | 天元大数据信用管理有限公司 | RSA-based credit investigation report unified display method |
CN112347748A (en) * | 2020-11-26 | 2021-02-09 | 北京百家科技集团有限公司 | Data report generation method and device, computer equipment and readable storage medium |
Non-Patent Citations (3)
Title |
---|
S. WOO等: "Stair-mapping with Point-cloud Data and Stair-modeling for Quadruped Robot", INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS (UR), vol. 2019, 25 July 2019 (2019-07-25), pages 81 - 86 * |
杨超: "面向工业大数据的可视化系统设计与实现", 中国优秀硕士学位论文全文数据库 (信息科技辑), vol. 2020, no. 1, 15 January 2020 (2020-01-15), pages 138 - 1018 * |
谭仁春: "Python和FME下的疫情数据可视化", 地理空间信息, vol. 19, no. 1, 27 January 2021 (2021-01-27), pages 1 - 4 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11659004B2 (en) | Networking flow logs for multi-tenant environments | |
CA2946224C (en) | Method and apparatus for automating the building of threat models for the public cloud | |
US9038015B1 (en) | System and method for creating a development and operational platform for mobile applications | |
US7243374B2 (en) | Rapid application security threat analysis | |
US8683322B1 (en) | Method, system and computer program product for structuring unstructured data originating from uncontrolled web application | |
US8301653B2 (en) | System and method for capturing and reporting online sessions | |
US20020116647A1 (en) | Digital credential monitoring | |
US11159554B2 (en) | Correlating threat information across sources of distributed computing systems | |
US20130019018A1 (en) | Optimized service integration | |
CN112633691A (en) | Method and device for generating custom approval process | |
US9152966B2 (en) | Data reporting framework across on-premise and hosted CRM services | |
US20100121923A1 (en) | Multi-tenancy engine | |
US20110161431A1 (en) | Interactive Query Tool | |
US9250774B2 (en) | User interface push channel | |
US10320750B1 (en) | Source specific network scanning in a distributed environment | |
US10178119B1 (en) | Correlating threat information across multiple levels of distributed computing systems | |
AU2014400621A1 (en) | System and method for providing contextual analytics data | |
US20020116646A1 (en) | Digital credential exchange | |
US11228619B2 (en) | Security threat management framework | |
US10628894B1 (en) | Method and system for providing personalized responses to questions received from a user of an electronic tax return preparation system | |
US10552798B2 (en) | Abstraction services for productivity servers | |
US11467868B1 (en) | Service relationship orchestration service | |
WO2014011376A1 (en) | Optimized service integration | |
CN113420194A (en) | Method and system for displaying data | |
CN107800729A (en) | A kind of information query method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |