CN112732824A - Index data visualization system - Google Patents

Index data visualization system Download PDF

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Publication number
CN112732824A
CN112732824A CN202110054753.0A CN202110054753A CN112732824A CN 112732824 A CN112732824 A CN 112732824A CN 202110054753 A CN202110054753 A CN 202110054753A CN 112732824 A CN112732824 A CN 112732824A
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data
index
module
statistical
type
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李穗燕
梁家杰
王洪菊
赵艳超
刘会河
王志鹏
吴东平
徐智良
柳玉欢
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Lvshou Health Industry Group Co ltd
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Lvshou Health Industry Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
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    • G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

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Abstract

The invention discloses an index data visualization system, which comprises: the system comprises an index type selection module, a statistical dimension selection module, a data display module and an abnormal data early warning module; the index type selection module is used for responding to index type selection operation of a user and extracting index data of the type from a preset database; the statistical dimension selection module is used for responding to the statistical dimension selection operation of the user, extracting data in a corresponding statistical dimension range from the index data and generating second index data; the data display module is used for displaying the second index data; the abnormal data early warning module is used for calculating the data average value of all the data in the second index data; and calculating the difference value between each data in the second index data and the average value of the data one by one, taking the data with the difference value larger than a preset fluctuation threshold value as abnormal data, and then generating abnormal prompt information according to the abnormality. By implementing the invention, abnormal data prompt can be automatically carried out and the data acquisition efficiency can be improved.

Description

Index data visualization system
Technical Field
The invention relates to the technical field of computers, in particular to an index data visualization system.
Background
In the existing enterprise management process, leaders at different levels of a company often need to check various business data of the company to judge whether the operation condition of the company is good or not, and the business data are various and complicated, such as sales data, commodity inventory data, client data, operation cost and other various data. Generally, if a user needs to know a plurality of types of service data at the same time, the user needs to browse and check various data from various paper files and integrate various data, efficiency is low, and abnormal conditions of the searched service data cannot be known in time.
Disclosure of Invention
The embodiment of the invention provides an index data visualization system which can automatically prompt abnormal data and improve the data acquisition efficiency.
The embodiment of the invention provides an index data visualization system, which comprises an index category selection module, a statistical dimension selection module, a data display module and an abnormal data early warning module, wherein the index category selection module is used for selecting a statistical dimension;
the index type selection module is used for responding to index type selection operation of a user and extracting index data of the types from a preset database;
the statistical dimension selection module is used for responding to a statistical dimension selection operation of a user, extracting data in a corresponding statistical dimension range from the index data and generating second index data;
the data display module is used for displaying the second index data;
the abnormal data early warning module is used for calculating a data average value of all data in the second index data; and calculating the difference value between each data in the second index data and the average value of the data one by one, taking the data of which the difference value is larger than a preset fluctuation threshold value as abnormal data, and then generating abnormal prompt information according to the abnormality.
Further, the statistical dimension further comprises a department type dimension; the statistical dimension selection module is configured to, in response to a statistical dimension selection operation of a user, extract data in a corresponding statistical dimension range from the index data, and generate second index data, and specifically includes:
responding to the operation of selecting the time dimension by the user, and determining the time range of the data needing to be extracted;
responding to the operation of selecting a department type dimension by a user, and determining the department type of the data to be extracted;
and extracting data corresponding to the time range and the corresponding department type from the index data according to the time range of the data required to be extracted and the corresponding department type, and generating the second index data.
Further, the data display module comprises a statistical chart display sub-module; and the statistical chart display sub-module is used for generating a statistical chart according to the second index data and then displaying the second index data in the form of the statistical chart.
Further, the data display module further comprises a table display sub-module; and the table display module is used for generating a data table according to the second index data and then displaying the second index in the form of the data table.
Further, the index types include: revenue type indicators, customer type indicators, order type indicators, commodity type indicators, and sales type indicators.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an index data visualization system, which comprises an index category selection module, a statistical dimension selection module, a data display module and an abnormal data early warning module, wherein the index category selection module is used for selecting a statistical dimension; the data to be displayed is extracted through the index category selection module and the statistical dimension selection module, and the extracted data is displayed through the data display module, so that the visualization of the index data is realized, a user can quickly and intuitively learn various index data only by executing the selection operation through the index data visualization system, the data learning efficiency of the user is improved, and on the other hand, abnormal data is automatically calibrated through the abnormal data early warning module and abnormal data prompt information is generated; the automatic abnormal data early warning is realized, so that a user does not need to judge data manually and can learn about the abnormal data only according to the prompt information of the abnormal data.
Drawings
Fig. 1 is a system architecture diagram of an index data visualization system according to an embodiment of the present invention.
Fig. 2 is a schematic display interface diagram of an index data visualization system 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.
As shown in fig. 1: an embodiment of the present invention provides an index data visualization system, including:
the system comprises an index type selection module, a statistical dimension selection module, a data display module and an abnormal data early warning module;
the index type selection module is used for responding to index type selection operation of a user and extracting index data of the types from a preset database;
the statistical dimension selection module is used for responding to a statistical dimension selection operation of a user, extracting data in a corresponding statistical dimension range from the index data and generating second index data;
the data display module is used for displaying the second index data;
the abnormal data early warning module is used for calculating a data average value of all data in the second index data; and calculating the difference value between each data in the second index data and the average value of the data one by one, taking the data of which the difference value is larger than a preset fluctuation threshold value as abnormal data, and then generating abnormal prompt information according to the abnormality.
In a preferred embodiment, the statistical dimensions further include a department type dimension; the statistical dimension selection module is configured to, in response to a statistical dimension selection operation of a user, extract data in a corresponding statistical dimension range from the index data, and generate second index data, and specifically includes:
responding to the operation of selecting the time dimension by the user, and determining the time range of the data needing to be extracted;
responding to the operation of selecting a department type dimension by a user, and determining the department type of the data to be extracted;
and extracting data corresponding to the time range and the corresponding department type from the index data according to the time range of the data required to be extracted and the corresponding department type, and generating the second index data.
In a preferred embodiment, the data display module comprises a statistical chart display sub-module; and the statistical chart display sub-module is used for generating a statistical chart according to the second index data and then displaying the second index data in the form of the statistical chart.
In a preferred embodiment, the data display module further comprises a table display sub-module; and the table display module is used for generating a data table according to the second index data and then displaying the second index in the form of the data table.
In a preferred embodiment, the index types include: revenue type indicators, customer type indicators, order type indicators, commodity type indicators, and sales type indicators.
In order to better illustrate the technical solutions provided by the present invention, the following further describes the solutions of the present invention.
As shown in fig. 2, fig. 2 is a visual operation interface corresponding to the index data visualization system provided by the present invention.
The types of the index data counted in the present invention, i.e., the above-mentioned index types, include, but are not limited to: revenue type indicators, customer type indicators, order type indicators, commodity type indicators, and sales type indicators. The index data of each type of index is pre-stored in a preset database. The income index stores data such as sales amount, the customer index mainly stores data such as customer quantity, the order index mainly stores data such as order quantity, the commodity index mainly stores data such as quantity of sold commodities, and the sales index mainly stores data such as sales amount.
The user clicks the icon corresponding to the index data category through the operation interface shown in fig. 2 to perform the above-mentioned index category selection operation, and then the index category selection module extracts the corresponding index data from the database according to the index type clicked by the user, for example, if the user clicks "income category index", then the index category selection module extracts the data of "income category index" from the database.
This is followed by the selection of statistical dimensions, which in the present invention are divided into a time dimension and a department type dimension, which in turn is divided into: the company, the department, the team, the group and the group member at different levels are used for clicking the corresponding company, the department, the team, the group member and the start time through the operation interface shown in fig. 2, the statistical dimension selection operation is realized by the deadline, and then the statistical dimension selection module further extracts data from the index data extracted in the last step according to the dimensional information selected by the user to generate second index data.
The data display module comprises a statistical chart display sub-module and a table display sub-module, wherein the statistical chart display sub-module is used for displaying data in a statistical chart mode, and the table display sub-module is used for displaying data in a table mode. It should be noted that the statistical chart includes, but is not limited to, a histogram statistical chart or a polyline statistical chart. When the user clicks the "statistical chart" identifier in the operation interface shown in fig. 2, the statistical chart display sub-module is triggered, and at this time, the statistical chart is automatically generated to display data. Similarly, when the user clicks the "table" identifier in the operation interface shown in fig. 2, the table display sub-module is triggered, and at this time, the data table is automatically generated for data display.
And finally, an abnormal data early warning module, wherein the abnormal data early warning module calculates the data average value of the extracted second data, compares the data with the average value as a reference value one by one, and when the difference value is greater than a preset fluctuation threshold value, it indicates that the corresponding data fluctuation is too large, a statistical error condition may occur, or other abnormal conditions may occur, generates abnormal prompt information at the moment, and displays the abnormal prompt information on the operation interface, or directly sends the abnormal prompt information to a mobile terminal of a user to prompt the customer, for example, the content of the abnormal prompt information may be 'please note about the abnormal sale of 20201011-doped materials of the B team 20201011 in the D team'. The automatic early warning of the abnormal data is realized through the mode.
Through the index data visualization system, a user can quickly look up various index data through simple clicking operation, so that the data acquisition efficiency is improved, and abnormal data can be quickly obtained through the automatic abnormal data early warning function of the abnormal data early warning module without considering data analysis.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (5)

1. An index data visualization system, comprising: the system comprises an index type selection module, a statistical dimension selection module, a data display module and an abnormal data early warning module;
the index type selection module is used for responding to index type selection operation of a user and extracting index data of the types from a preset database;
the statistical dimension selection module is used for responding to a statistical dimension selection operation of a user, extracting data in a corresponding statistical dimension range from the index data and generating second index data;
the data display module is used for displaying the second index data;
the abnormal data early warning module is used for calculating a data average value of all data in the second index data; and calculating the difference value between each data in the second index data and the average value of the data one by one, taking the data of which the difference value is larger than a preset fluctuation threshold value as abnormal data, and then generating abnormal prompt information according to the abnormality.
2. The metric data visualization system of claim 1, wherein the statistical dimensions further include a department type dimension; the statistical dimension selection module is configured to, in response to a statistical dimension selection operation of a user, extract data in a corresponding statistical dimension range from the index data, and generate second index data, and specifically includes:
responding to the operation of selecting the time dimension by the user, and determining the time range of the data needing to be extracted;
responding to the operation of selecting a department type dimension by a user, and determining the department type of the data to be extracted;
and extracting data corresponding to the time range and the corresponding department type from the index data according to the time range of the data required to be extracted and the corresponding department type, and generating the second index data.
3. The metric data visualization system of claim 1, wherein the data display module includes a statistical graph display sub-module; and the statistical chart display sub-module is used for generating a statistical chart according to the second index data and then displaying the second index data in the form of the statistical chart.
4. The metric data visualization system of claim 3, wherein the data display module further comprises a table display sub-module; and the table display module is used for generating a data table according to the second index data and then displaying the second index in the form of the data table.
5. An indicator data visualization system as claimed in claim 1 wherein the indicator types comprise: revenue type indicators, customer type indicators, order type indicators, commodity type indicators, and sales type indicators.
CN202110054753.0A 2021-01-15 2021-01-15 Index data visualization system Pending CN112732824A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117573953A (en) * 2024-01-16 2024-02-20 成都云祺科技有限公司 Page big data visual rendering method, system and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109524088A (en) * 2018-10-27 2019-03-26 平安医疗健康管理股份有限公司 Medical monitoring method, device, terminal and medium based on data visualization
CN110163457A (en) * 2018-02-14 2019-08-23 北京京东尚科信息技术有限公司 A kind of abnormal localization method and device of operational indicator
CN110472114A (en) * 2019-07-03 2019-11-19 平安科技（深圳）有限公司 Abnormal data method for early warning, device, computer equipment and storage medium
CN111966726A (en) * 2020-07-22 2020-11-20 武汉极意网络科技有限公司 System and method for generating self-adaptive data analysis report based on different types of clients

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110163457A (en) * 2018-02-14 2019-08-23 北京京东尚科信息技术有限公司 A kind of abnormal localization method and device of operational indicator
CN109524088A (en) * 2018-10-27 2019-03-26 平安医疗健康管理股份有限公司 Medical monitoring method, device, terminal and medium based on data visualization
CN110472114A (en) * 2019-07-03 2019-11-19 平安科技（深圳）有限公司 Abnormal data method for early warning, device, computer equipment and storage medium
CN111966726A (en) * 2020-07-22 2020-11-20 武汉极意网络科技有限公司 System and method for generating self-adaptive data analysis report based on different types of clients

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117573953A (en) * 2024-01-16 2024-02-20 成都云祺科技有限公司 Page big data visual rendering method, system and storage medium
CN117573953B (en) * 2024-01-16 2024-03-22 成都云祺科技有限公司 Page big data visual rendering method, system and storage medium

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Address after: 510000 Lingnan node garden, Yuwei bridge, Huadi Avenue Road, Liwan District, Guangzhou City, Guangdong Province

Applicant after: Guangdong one health industry group Co.,Ltd.

Address before: 510000 Lingnan node garden, Yuwei bridge, Huadi Avenue Road, Liwan District, Guangzhou City, Guangdong Province

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Application publication date: 20210430