Data statistics system for economic management science

Abstract

The invention relates to the technical field of data statistics, and discloses a data statistics system for economic management science, which comprises a data collection module, a data storage and management module, a data analysis module, a data visualization module, a report generation module and a user management module. The system adopts a modular design, and each module is relatively independent and cooperates with each other, so that maintenance and expansion are facilitated; a big data technology is adopted to process mass data, including data storage, data processing, data analysis, data visualization and the like; artificial intelligence technologies such as time sequence analysis and a machine learning model are integrated, and predictive analysis and intelligent decision support are achieved; according to the method, the access of third-party data sources, such as government statistical data, Bloomberg Terminals and Wind Financial Terminals, is supported, the data is accurate and timely, and the reliability of an analysis conclusion is improved; the analysis result can reflect the current economic condition in time, and the timeliness and accuracy of decision making are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data statistics, and specifically to a data statistics system for economic management and research. Background Art

[0002] Economics is a discipline that studies the laws of economic development. Therefore, a large amount of data statistics and management are required to better study the laws of economic development. Moreover, industries are the vane of regional economy, and in-depth industrial research is an important basis for the government's scientific decision-making, precise policy implementation, and guiding economic development. Traditional industrial analysis methods require a large amount of human, material and financial resources and costs. Due to the use of statistical data from sampling surveys, the data sample size is small, the data analysis error is large, the timeliness is low, the cost is high, and the macroscopicalness is poor. The research information is subjective, and the display form is single. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the above technical defects and provide a data statistics system for economic management and research.

[0004] To solve the above problems, the technical solution of the present invention is: A data statistics system for economic management and research, comprising:

[0005] A data collection module: collecting financial data, market research data, and third-party data within an enterprise;

[0006] A data storage and management module: storing the collected data in a database and performing data cleaning and preprocessing on the data in the database;

[0007] A data analysis module: analyzing and processing the preprocessed data;

[0008] A data visualization module: visually displaying the results of data analysis and processing;

[0009] A report generation module: generating reports according to preset templates or user requirements;

[0010] A user management module: used for user registration and login.

[0011] Furthermore, the data collection methods include those through API interfaces, web crawlers, and manual input; the third-party data includes government statistical data, Bloomberg Terminal, and Wind Financial Terminal.

[0012] Furthermore, the database adopts a relational database and has data encryption, access control, and backup and recovery mechanisms.

[0013] Furthermore, the data cleaning and preprocessing include:

[0014] Missing value handling: Use interpolation, mean filling, or delete missing data;

[0015] Outlier handling: Identify and handle outlier data points, such as using box plots or Z - score methods;

[0016] Data deduplication: Remove duplicate data;

[0017] Data standardization: Standardize data from different sources to the same scale.

[0018] Furthermore, the data analysis module includes:

[0019] Descriptive statistical analysis: Calculate basic statistics such as mean, median, mode, and standard deviation to provide basic statistical indicators;

[0020] Inferential statistical analysis: Include advanced statistical analysis methods such as hypothesis testing, regression analysis, and time - series analysis for predicting and analyzing relationships between variables;

[0021] Data mining: Include machine - learning algorithms such as clustering analysis, classification analysis, and association rule mining for data mining and predictive analysis;

[0022] Predictive analysis: Use time - series analysis and machine - learning models for trend prediction and decision support.

[0023] Furthermore, the data visualization module includes:

[0024] Chart generation: Include basic charts such as bar charts, line charts, pie charts, scatter plots, and radar charts;

[0025] Dashboard: Design an interactive dashboard to display key metrics and trends in real - time and support drag - and - drop data exploration;

[0026] Geographic Information System (GIS): Used to display geospatial data, such as regional economic indicators, market distribution, etc.

[0027] Furthermore, the report generation module supports the function of report export, and the formats of the exported reports include PDF, Excel, Word, etc.

[0028] Furthermore, the user management module has the function of role assignment. According to different user roles, it is assigned as administrator, data analyst, and ordinary user, and different user roles have different permissions and functions.

[0029] The advantages of the present invention compared with the existing technologies are as follows: This system adopts a modular design, where each module is relatively independent and collaborates with each other, facilitating maintenance and expansion; it uses big data technology to process massive data, including data storage, data processing, data analysis, and data visualization, etc.; it integrates artificial intelligence technologies, such as time series analysis and machine learning models, to achieve predictive analysis and intelligent decision-making support; it supports the access of third-party data sources, such as government statistical data, Bloomberg Terminal, and Wind Financial Terminal, with accurate and timely data, enhancing the reliability of analysis conclusions; the analysis results can promptly reflect the current economic situation, improving the timeliness and accuracy of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is the system architecture diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] As Figure 1 shown, a data statistics system for economic management and science includes:

[0033] Data collection module: Collect financial data, market research data, and third-party data within the enterprise;

[0034] The data collection methods include through API interfaces, web crawlers, and manual input; third-party data includes government statistical data, Bloomberg Terminal, and Wind Financial Terminal.

[0035] Data storage and management module: Store the collected data in a database and perform data cleaning and preprocessing on the data in the database;

[0036] The database adopts a relational database and has data encryption, access control, and backup and recovery mechanisms. The data cleaning and preprocessing include:

[0037] Missing value processing: Use interpolation methods, mean filling, or delete missing data;

[0038] Outlier processing: Identify and process abnormal data points, such as using box plots or Z-score methods;

[0039] Data deduplication: Remove duplicate data;

[0040] Data standardization: Standardize data from different sources to the same scale.

[0041] Data analysis module: Analyze and process the preprocessed data;

[0042] Including:

[0043] Descriptive statistical analysis: Calculate basic statistics including mean, median, mode, and standard deviation to provide basic statistical indicators;

[0044] Inferential statistical analysis: Include advanced statistical analysis methods such as hypothesis testing, regression analysis, and time series analysis for predicting and analyzing the relationships between variables;

[0045] Data mining: Include machine learning algorithms such as clustering analysis, classification analysis, and association rule mining for data mining and predictive analysis;

[0046] Predictive analysis: Use time series analysis and machine learning models for trend prediction and decision support.

[0047] Data visualization module: Visually display the results of data analysis and processing;

[0048] Including:

[0049] Chart generation: Include basic charts such as bar charts, line charts, pie charts, scatter plots, and radar charts;

[0050] Dashboard: Design an interactive dashboard to display key metrics and trends in real-time and support drag-and-drop data exploration;

[0051] Geographic information system: Used to display geospatial data such as regional economic indicators and market distribution.

[0052] Report generation module: Generate reports according to preset templates or user requirements, and support the function of report export. The exported report formats include PDF, Excel, Word, etc.

[0053] User management module: Used for user registration and login, and has the function of role assignment. According to different user roles, they are assigned as administrators, data analysts, and ordinary users. Different user roles have different permissions and functions.

[0054] This system adopts a modular design. Each module is relatively independent and collaborates with each other, which is convenient for maintenance and expansion. It uses big data technology to process massive data, including data storage, data processing, data analysis, and data visualization, etc. It integrates artificial intelligence technologies such as time series analysis and machine learning models to achieve predictive analysis and intelligent decision support. It supports the access of third-party data sources, such as government statistical data, Bloomberg Terminal, and Wind Financial Terminal, with accurate and timely data, enhancing the reliability of analysis conclusions. The analysis results can promptly reflect the current economic situation, improving the timeliness and accuracy of decision-making.

[0055] An automated data scraping tool is adopted to obtain data from channels such as web pages and social media.

[0056] The undisclosed parts in this invention are all prior arts, and their specific structures and working principles will not be elaborated further.

[0057] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0058] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

[0059] The above has described the present invention and its implementation manners. Such description is not restrictive. What is shown in the drawings is only one of the implementation manners of the present invention, and the actual structure is not limited thereto. Generally speaking, if those of ordinary skill in the art are inspired by it and, without departing from the purpose of the present invention, design similar structural manners and embodiments to this technical solution without creative efforts, they shall fall within the protection scope of the present invention.

Claims

1. A data statistics system for economic management, characterized in that: include: Data collection module: collects internal financial data, market research data, and third-party data; Data storage and management module: stores the collected data in the database, and performs data cleaning and preprocessing on the data in the database; Data analysis module: analyze and process the preprocessed data; Data visualization module: visualize the results of data analysis and processing; Report generation module: Generate reports based on preset templates or user requirements; User management module: used for user registration and login.

2. The economic management data statistics system according to claim 1 is characterized by: The data collection methods include through API interface, web crawler, and manual input; third-party data includes government statistics, Bloomberg Terminal and Wind Financial Terminall.

3. The economic management data statistics system according to claim 1 is characterized by: The database adopts a relational database and has data encryption, access control and backup and recovery mechanisms.

4. The economic management data statistics system according to claim 3 is characterized in that: The data cleaning and preprocessing include: Missing value handling: use interpolation, mean value to fill or delete missing data; Outlier handling: Identify and handle outlier data points, such as using box plots or Z-score methods; Data deduplication: remove duplicate data; Data normalization: normalize data from different sources to the same scale.

5. The economic management data statistics system according to claim 1 is characterized in that: The data analysis module includes: Descriptive statistical analysis: including the calculation of basic statistics such as mean, median, mode and standard deviation, providing basic statistical indicators; Inferential statistical analysis: advanced statistical analysis methods including hypothesis testing, regression analysis, and time series analysis, used to predict and analyze the relationship between variables; Data mining: including machine learning algorithms such as cluster analysis, classification analysis, and association rule mining, used for data mining and predictive analysis; Predictive analytics: Use time series analysis and machine learning models for trend forecasting and decision support.

6. The economic management data statistics system according to claim 1, characterized in that: The data visualization module includes: Chart generation: including basic charts such as bar charts, line charts, pie charts, scatter charts, radar charts, etc. Dashboards: Design interactive dashboards that display key metrics and trends in real time and support drag-and-drop data exploration; Geographic Information System: used to display geographic spatial data, such as regional economic indicators and market distribution.

7. The economic management data statistics system according to claim 1 is characterized by: The report generation module supports the function of exporting reports, and the exported reports include PDF, Excel, and Word.

8. The economic management data statistics system according to claim 1 is characterized by: The user management module has the function of role allocation, which is allocated to administrators, data analysts and ordinary users according to different user roles. Different user roles have different permissions and functions.

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