CN112650816A - Intelligent data analysis visualization system and method - Google Patents
Intelligent data analysis visualization system and method Download PDFInfo
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- CN112650816A CN112650816A CN202010968103.2A CN202010968103A CN112650816A CN 112650816 A CN112650816 A CN 112650816A CN 202010968103 A CN202010968103 A CN 202010968103A CN 112650816 A CN112650816 A CN 112650816A
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- G06F16/28—Databases characterised by their database models, e.g. relational or object models
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Abstract
The invention discloses a data intelligent analysis visualization system and a data intelligent analysis visualization method. The invention has reasonable design, can carry out sorting based on query results, sort based on self dimensionality, sort the dimensionality based on the size of a summary index and sort based on formula values, sends data results to a data visual display screen through a multi-dimensional analysis unit and a drilling analysis unit, carries out data drilling step by step and calculation analysis on the basis of an integral big data framework through the drilling analysis unit to obtain corresponding bottom data, selects results of various single forms to be arranged in the same area through a result splicing mode, carries out formula operation and display according to the results to obtain various complex forms, and can establish report links to carry out combined association to obtain various associated reports.
Description
Technical Field
The invention relates to a visualization system and a visualization method, in particular to a data intelligent analysis visualization system and a data intelligent analysis visualization method.
Background
The business intelligence is to use a data warehouse and a data mining technology to store and manage data systematically, analyze the data through various data statistical analysis tools, provide various analysis reports such as customer value evaluation, customer satisfaction evaluation, service quality evaluation, marketing effect evaluation and future market demand, and further provide decision information for the business activities of various industries in the market.
The current performance of each industry in the market is analyzed, the current condition of each industry in the market is known, and the future development road is predicted, the previous industry in the market has massive business reports, but no method provides effective support for decision, a high-level decision maker cannot guide decision through the key performance of each industry in the market, the report demand can be changed continuously, the report development period is long, the statistical caliber is different, the report display form is limited, and the report conforming to humanization cannot be made. Therefore, a system and a method for intelligently analyzing and visualizing data are provided for the above problems.
Disclosure of Invention
The present invention is directed to a system and a method for intelligently analyzing and visualizing data.
The invention realizes the purpose through the following technical scheme, and a data intelligent analysis visualization system comprises a data transmission module, a database visualization module, a report design module, an intelligent interaction analysis module, a data structure feedback module and a data visualization display screen module, wherein the relationship among the data transmission module, the database visualization module, the report design module, the intelligent interaction analysis module, the data structure feedback module and the data visualization display screen module is as follows:
loading and importing all data in various relational databases embedded with access connectors and various big data storage files to a built-in data integration platform through a data transmission module, and transmitting the data to a database visualization module together according to the data integration platform;
secondly, the database visualization module creates and arranges the received data through the data comparison analysis module and the data chart generation module and transmits the data to the report design module;
thirdly, the report design module obtains a plurality of complex forms by intelligently integrating the received data in a plurality of independent forms according to the data structure;
fourthly, the intelligent interactive analysis module consists of a calculation formula library component and a memory data multidimensional component, and the intelligent interactive analysis module performs data aggregation and calculation on the received various associated reports through the calculation formula library component and the memory data multidimensional component to obtain various data sets and transmits the data sets to the data structure feedback module;
step five: the data structure feedback module is composed of a multidimensional analysis unit and a drilling analysis unit, data results are obtained through analysis, the data structure feedback module corresponds various received data sets to each region, and the data results are sent to a data visualization display screen through the multidimensional analysis unit and the drilling analysis unit.
And further, in the third step, the data result obtained by the report design module is transmitted to the exploration association analysis module, and the exploration association analysis module performs association analysis operation on the received multiple complex forms to obtain various associated reports, and transmits the various associated reports to the intelligent interaction analysis module.
Further, the formula library component is calculated in the fourth step in a built-in operation mode comprising a trigonometric function, a text function, a date and time function, a logic function, an array function and a user-defined function, wherein the built-in analysis mode comprises a same ratio, a ring ratio, an occupation ratio, an accumulation, an average, a variance, a median and a standard deviation, and the built-in sorting mode comprises sorting based on a query result, sorting based on self dimensionality, sorting based on the size of a summary index and sorting based on a formula value.
Furthermore, the dynamic memory data cube technology, the data processing mode for performing calculation, the storage mode of the column database, the index mode of each type of bitmap, and the cache mode for avoiding recalculation are stored in the memory data multidimensional component in the fourth step.
Furthermore, in the fifth step, the multidimensional analysis unit performs pre-calculation in a multidimensional analysis mode and by combining a data cube technology on the basis of a bottom big data architecture.
Furthermore, the drilling analysis unit in the fifth step performs step-by-step data drilling and calculation analysis on the basis of the whole big data architecture to obtain corresponding bottom layer data.
Further, the data visualization display screen module displays data.
Further, the result splicing mode is that the results of various single tables are selected to be arranged in the same area, and formula operation and display are carried out according to the results to obtain a plurality of complex tables.
Furthermore, the intelligent data structure finishing operation is to take the owner area, owner city, carrier, sales volume, quantity, freight rate and unit price in the complex tables as the related items, and establish report links to combine and associate to obtain various associated reports.
Further, an operation method of the intelligent data analysis visualization system comprises the following steps:
(1) acquiring the total selection times of the data contrast analysis module and the data chart generation module in the first time level for creating and sorting the data;
(2) acquiring the total working time of the data creation and arrangement of a data comparison analysis module and a data chart generation module in a first time level;
(3) and acquiring the total switching times of the data creation and arrangement by the data comparison analysis module and the data chart generation module in the first time level.
The invention has the beneficial effects that:
1. the system is reasonable in design, can be used for sorting based on query results, sorting based on self dimensionality, sorting dimensionality based on the size of a summary index and sorting based on formula values, corresponding various received data sets to each region, and sending data results to a data visualization display screen through a multi-dimensional analysis unit and a drilling analysis unit;
2. the invention has reasonable design, the drilling analysis unit performs step-by-step data drilling and calculation analysis on the basis of the whole big data architecture to obtain corresponding bottom data, and the result splicing mode is to select the results of various single tables to be arranged in the same area and perform formula operation and display according to the results to obtain a plurality of complex tables;
3. the report linkage association method is reasonable in design, and can establish report linkage to carry out combination association to obtain various associated reports.
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, and 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 these drawings without inventive exercise.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below 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.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
Referring to fig. 1, an intelligent data analysis and visualization system includes a data transmission module, a database visualization module, a report design module, an intelligent interaction analysis module, a data structure feedback module, and a data visualization display screen module, where the relationships among the data transmission module, the database visualization module, the report design module, the intelligent interaction analysis module, the data structure feedback module, and the data visualization display screen module are as follows:
loading and importing all data in various relational databases embedded with access connectors and various big data storage files to a built-in data integration platform through a data transmission module, and transmitting the data to a database visualization module together according to the data integration platform;
secondly, the database visualization module creates and arranges the received data through the data comparison analysis module and the data chart generation module and transmits the data to the report design module;
thirdly, the report design module obtains a plurality of complex forms by intelligently integrating the received data in a plurality of independent forms according to the data structure;
fourthly, the intelligent interactive analysis module consists of a calculation formula library component and a memory data multidimensional component, and the intelligent interactive analysis module performs data aggregation and calculation on the received various associated reports through the calculation formula library component and the memory data multidimensional component to obtain various data sets and transmits the data sets to the data structure feedback module;
step five: the data structure feedback module is composed of a multidimensional analysis unit and a drilling analysis unit, data results are obtained through analysis, the data structure feedback module corresponds various received data sets to each region, and the data results are sent to a data visualization display screen through the multidimensional analysis unit and the drilling analysis unit.
And in the third step, the data result obtained by the report design module is transmitted to the exploration association analysis module, and the exploration association analysis module performs association analysis operation on the received multiple complex forms to obtain various association reports, and transmits the various association reports to the intelligent interaction analysis module.
The four steps of the calculation formula library component has built-in operation modes including trigonometric function, text function, date and time function, logic function, array function and self-defined function, and the built-in analysis modes include homonymy, ring ratio, proportion, accumulation, average, variance, median and standard deviation, and the built-in sorting modes include sorting based on query results, sorting based on self-dimension, sorting based on the size of summary index and sorting based on formula value.
In the fourth step, a dynamic memory data cube technology, a data processing mode for performing calculation, a storage mode of a column database, an index mode of various bitmaps and a cache mode for avoiding recalculation are stored in the memory data multidimensional component.
And in the fifth step, the multidimensional analysis unit performs pre-calculation by a multidimensional analysis mode and a data cube technology on the basis of a bottom big data architecture.
And the drilling analysis unit in the fifth step performs step-by-step data drilling and calculation analysis on the basis of the whole big data architecture to obtain corresponding bottom layer data.
And the data visualization display screen module displays the data.
The result splicing mode is to select the results of various single tables to be arranged in the same area, and then to perform formula operation and display to obtain a plurality of complex tables.
The intelligent data structure finishing operation is to take a cargo owner area, a cargo owner city, a cargo carrier, sales volume, quantity, cargo cost and unit price in a plurality of complex tables as related items, establish report links and combine and associate the report links to obtain various associated reports.
An operation method of an intelligent data analysis visualization system comprises the following steps:
(1) acquiring the total selection times of the data contrast analysis module and the data chart generation module in the first time level for creating and sorting the data;
(2) acquiring the total working time of the data creation and arrangement of a data comparison analysis module and a data chart generation module in a first time level;
(3) and acquiring the total switching times of the data creation and arrangement by the data comparison analysis module and the data chart generation module in the first time level.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a data intelligent analysis visual system which characterized in that: including data transmission module, database visualization module, report design module, intelligent mutual analysis module, data structure feedback module and the visual display screen module of data, data transmission module, database visualization module, report design module, intelligent mutual analysis module, data structure feedback module and the visual display screen module of data are related, like following step:
loading and importing all data in various relational databases embedded with access connectors and various big data storage files to a built-in data integration platform through a data transmission module, and transmitting the data to a database visualization module together according to the data integration platform;
secondly, the database visualization module creates and arranges the received data through the data comparison analysis module and the data chart generation module and transmits the data to the report design module;
thirdly, the report design module obtains a plurality of complex forms by intelligently integrating the received data in a plurality of independent forms according to the data structure;
fourthly, the intelligent interactive analysis module consists of a calculation formula library component and a memory data multidimensional component, and the intelligent interactive analysis module performs data aggregation and calculation on the received various associated reports through the calculation formula library component and the memory data multidimensional component to obtain various data sets and transmits the data sets to the data structure feedback module;
step five: the data structure feedback module is composed of a multidimensional analysis unit and a drilling analysis unit, data results are obtained through analysis, the data structure feedback module corresponds various received data sets to each region, and the data results are sent to a data visualization display screen through the multidimensional analysis unit and the drilling analysis unit.
2. The intelligent data analysis and visualization system according to claim 1, wherein: and in the third step, the data result obtained by the report design module is transmitted to the exploration association analysis module, and the exploration association analysis module performs association analysis operation on the received multiple complex forms to obtain various association reports, and transmits the various association reports to the intelligent interaction analysis module.
3. The intelligent data analysis and visualization system according to claim 1, wherein: the four steps of the calculation formula library component has built-in operation modes including trigonometric function, text function, date and time function, logic function, array function and self-defined function, and the built-in analysis modes include homonymy, ring ratio, proportion, accumulation, average, variance, median and standard deviation, and the built-in sorting modes include sorting based on query results, sorting based on self-dimension, sorting based on the size of summary index and sorting based on formula value.
4. The intelligent data analysis and visualization system according to claim 1, wherein: in the fourth step, a dynamic memory data cube technology, a data processing mode for performing calculation, a storage mode of a column database, an index mode of various bitmaps and a cache mode for avoiding recalculation are stored in the memory data multidimensional component.
5. The intelligent data analysis and visualization system according to claim 1, wherein: and in the fifth step, the multidimensional analysis unit performs pre-calculation by a multidimensional analysis mode and a data cube technology on the basis of a bottom big data architecture.
6. The intelligent data analysis and visualization system according to claim 1, wherein: and the drilling analysis unit in the fifth step performs step-by-step data drilling and calculation analysis on the basis of the whole big data architecture to obtain corresponding bottom layer data.
7. The intelligent data analysis and visualization system according to claim 1, wherein: and the data visualization display screen module displays the data.
8. The intelligent data analysis and visualization system according to claim 1, wherein: the result splicing mode is to select the results of various single tables to be arranged in the same area, and then to perform formula operation and display to obtain a plurality of complex tables.
9. The intelligent data analysis and visualization system according to claim 1, wherein: the intelligent data structure finishing operation is to take a cargo owner area, a cargo owner city, a cargo carrier, sales volume, quantity, cargo cost and unit price in a plurality of complex tables as related items, establish report links and combine and associate the report links to obtain various associated reports.
10. The method for operating the intelligent data analysis visualization system according to any one of claims 1 to 9, wherein the method comprises the following steps: the operation method comprises the following steps:
(1) acquiring the total selection times of the data contrast analysis module and the data chart generation module in the first time level for creating and sorting the data;
(2) acquiring the total working time of the data creation and arrangement of a data comparison analysis module and a data chart generation module in a first time level;
(3) and acquiring the total switching times of the data creation and arrangement by the data comparison analysis module and the data chart generation module in the first time level.
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| CN113379218A (en) * | 2021-06-03 | 2021-09-10 | 厦门中天铭成信息科技有限公司 | Market state evaluation method and evaluation system based on cigarette sales data |
| CN114779978A (en) * | 2022-04-27 | 2022-07-22 | 天津大学 | Fusion method, system, device and medium for data visualization |
| CN114780645A (en) * | 2022-03-29 | 2022-07-22 | 杨胜良 | Data classification processing method and system based on artificial intelligence and cloud platform |
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Application publication date: 20210413 |