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Design and implementation of large-screen full-screen system for Chongqing hotel data visualization using Python (Django framework)
1. Research background and significance
With the development of the economy and the improvement of people's living standards, the hotel industry has gradually become an important part of the service industry. However, as the number of hotels continues to increase, market competition has become increasingly fierce. In order to better understand the market situation and formulate more reasonable business strategies, hotels need to conduct in-depth analysis and visual display of their own and competitor data. Therefore, this research aims to develop a large-screen full-screen system for Chongqing hotel data visualization based on Python and Django frameworks to help hotels better understand the market situation and improve their competitiveness.
Specifically, the significance of this study is mainly reflected in the following aspects:
- Improve hotel operating efficiency: Through data analysis and visual display, it helps hotels formulate business strategies more scientifically and improves hotel occupancy rates, customer satisfaction and profitability.
- Promote the construction of smart tourism: Through this system, hotel data and tourism data can be organically combined to provide strong support for the construction of smart tourism in Chongqing.
- Promote the development of data visualization technology: This study was developed using Python and Django frameworks, which can promote the development and application of data visualization technology and provide reference and reference for data visualization in other industries.
2. Research status at home and abroad
At present, there have been some studies and practices at home and abroad involving data-based hotel management systems and data visualization technology. Abroad, some well-known hotel groups have established relatively complete information management systems, using big data, cloud computing and other technical means to conduct in-depth analysis and visual display of hotel operating data. In China, a number of data-based hotel management systems and data visualization platforms have emerged in recent years. However, in the hotel industry in Chongqing, there is still relatively little relevant research and practice. In particular, there is still a certain research gap in data visualization display combined with large-screen full-screen systems.
3. Research ideas and methods
This research adopts the following ideas and methods:
- Data crawling: Use Python crawler technology to crawl relevant information on major hotel websites in Chongqing, including hotel names, locations, prices, ratings, reviews and other data.
- Data cleaning and processing: Clean and process the crawled data to remove duplicate values, outliers and other noisy data to extract useful information.
- Data storage: Store the cleaned data in the database to facilitate subsequent data analysis and visual display.
- Data visualization analysis: Use the visualization library in Python to perform visual analysis on stored data, including drawing heat maps, scatter plots, histograms and other statistical charts, and using maps to display hotel distribution.
- Large-screen full-screen system design and implementation: Use the Django framework for system development and implementation, including database design, front-end and back-end function implementation, etc., and combine it with the large-screen full-screen system for display to achieve real-time updates and dynamic interaction of data.
- System testing and evaluation: Comprehensive testing and evaluation of the system, including functional integrity, performance stability, and user experience friendliness.
4. Research content and innovation points
The research contents of this study mainly include the following aspects:
- Crawling and processing of hotel data in Chongqing: Use crawler technology to obtain relevant information from major hotel websites in Chongqing and clean and process it.
- Visual analysis of Chongqing hotel data: Use the visualization library in Python to perform visual analysis on the cleaned data to display hotel distribution, price distribution, customer reviews and other information.
- Design and implementation of Chongqing hotel data visualization large-screen full-screen system: Combining visual analysis results with the hotel's business needs to provide the hotel with a large-screen full-screen display system to facilitate hotel managers to view and analyze the hotel's operating conditions in real time. At the same time, the system should have a friendly interactive interface and efficient performance to improve user experience and work efficiency.
- System testing and evaluation: Comprehensive testing and evaluation of the system, including functional integrity, performance stability, user experience friendliness, etc., to ensure the quality and reliability of the system.
5. Backend functional requirement analysis and front-end functional requirement analysis
Backend functional requirements analysis:
- User management: including user registration, login, rights management and other functions to ensure the security and privacy of the system.
- Data management: including data import, export, query, modification and other functions to facilitate users to maintain and manage data.
- Visual analysis: Provides a wealth of visual analysis tools and templates to help users better understand and analyze data.
- System monitoring: including log viewing, performance monitoring and other functions to facilitate users to monitor and manage the system's operation in real time.
Front-end functional requirements analysis:
- Large-screen full-screen display: Supports large-screen full-screen display function to facilitate users to view and analyze data on different devices.
- Interaction experience optimization: Improve the practicality and user experience of the system through friendly operation interface and interactive experience design to facilitate users' query and operation.
6. Technical feasibility analysis
This study uses Python and Django frameworks for system development. Both technologies have been widely used and verified, and have high reliability and stability. At the same time, the data visualization technology and large-screen full-screen display technology used in this study have also been widely used and verified, and can provide the system with rich visualization effects and good user experience. Therefore, this study is feasible from a technical feasibility perspective.
7. Research progress arrangement
This study will be conducted according to the following schedule:
The first stage (1-2 months): Carry out data crawling and processing work, clean and organize hotel-related data.
The second stage (2-3 months): Carry out data visualization analysis and draw relevant statistical charts and map displays.
The third stage (3-4 months): Carry out system design and development work, including database design, front-end and back-end function implementation, etc.
The fourth stage (4-5 months): Carry out system testing and evaluation work, including functional testing, performance testing and user experience testing.
The fifth stage (5-6 months): Carry out system optimization and improvement work, including fixing bugs, optimizing performance, improving user experience, etc.
8. Thesis (design) writing outline
- Introduction: Introduce the background and significance of this study, the current research status at home and abroad, as well as the purpose and content of the research.
- Data crawling and processing: Detailed introduction to the process and methods of data crawling and processing, including the design and implementation of crawler programs, data cleaning and organization, etc.
- Data Visual Analysis: Detailed introduction to the process and methods of data visual analysis, including the selection and use of visualization tools, the drawing of statistical charts and map display, etc.
- System design and implementation: Detailed introduction to the system design and implementation process, including database design, front-end and back-end function implementation, design and implementation of large-screen full-screen display system, etc.
- System testing and evaluation: Detailed introduction to the system testing and evaluation process, including functional testing, performance testing, user experience testing, etc., and analysis and discussion of the test results.
- Conclusion and outlook: Summarize the main results and contributions of this study, and provide outlook and discussion on future work.
9. Main references
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10. Conclusion
This study designed and implemented a large-screen full-screen system for Chongqing hotel data visualization based on Python and Django frameworks. This system can crawl relevant information on major hotel websites in Chongqing, clean and process it, and perform visual analysis and large-screen full-screen exhibit. This research can not only provide strong data support and decision-making reference for the hotel industry in Chongqing, but also promote the development and application of data visualization technology and provide reference and reference for data visualization in other industries.
Proposal report: Design and implementation of Python Chongqing hotel data visualization large-screen full-screen system (Django framework)
research background and meaning
With the rapid development of tourism, the hotel industry has become an important part of social and economic development. In the hotel industry, data processing and analysis capabilities play a vital role in business decisions and market operations. However, in the traditional hotel operation process, due to the large and complex data, traditional data processing methods can no longer meet the needs of modern hotels for data processing and analysis. Therefore, designing and implementing a large-screen full-screen data visualization system based on Python and Django frameworks can effectively help the hotel industry perform data processing and analysis, improve operating efficiency and market competitiveness, and has important research significance and practical application value.
Research status at home and abroad
At present, research and application on data visualization at home and abroad have achieved certain results. The foreign hotel industry is relatively mature in data processing and analysis, and there are already some mature data visualization large-screen full-screen systems. However, these systems are often built on complex technical architectures and are not easy to deploy and use. The domestic hotel industry has an urgent need for data processing and analysis, but there is currently a lack of a large-screen full-screen data visualization system that targets the characteristics and needs of the hotel industry. Therefore, the significance of this study is to fill this gap and provide a data visualization solution based on Python and Django framework.
Research ideas and methods
The idea of this research is to design and implement a comprehensive, flexible, and easy-to-use large-screen full-screen system for data visualization through the combination of data processing and analysis modules, visual display modules, and user interaction modules based on the Python and Django frameworks. The specific methods are as follows:
1. Data processing and analysis module: Use Python's data processing library and machine learning library to clean, convert and analyze hotel-related data to obtain valuable information.
2. Visual display module: Using Python's visualization library, the results obtained from the data processing and analysis module are displayed on the large screen in an intuitive and easy-to-understand form, including statistical charts, maps, text descriptions, etc.
3. User interaction module: Through the user management and permission control functions provided by the Django framework, interactive functions such as user login, data query, and chart customization are implemented to improve user experience and system flexibility.
Research internal customers and innovation points
The core of this research is a large-screen full-screen data visualization system based on Python and Django frameworks, which has the following innovations:
1. Based on the Django framework: Taking advantage of the Django framework, it implements user management and permission control functions, and provides a safe and reliable user interaction environment.
2. Flexible and customizable: The system provides chart customization functions. Users can adjust and modify charts according to actual needs to meet the personalized needs of different users.
3. Full-screen display: The system is designed in full-screen display mode, which can better present a large amount of information and improve the information transmission effect and user experience.
Backend functional requirement analysis and front-end functional requirement analysis
Backend functional requirements analysis:
1. User management: Implement user registration, login and identity verification functions to ensure system security.
2. Data processing and analysis: Clean, convert and analyze hotel-related data to extract valuable information.
3. Data storage: Store the processed and analyzed data in the database to facilitate subsequent query and display.
4. Chart customization: Provide chart customization function to meet the personalized needs of different users.
Front-end functional requirements analysis:
1. Data display: Display the results of data processing and analysis in the form of statistical charts, maps and text descriptions.
2. Data query: Provides convenient data query function, users can query according to their own needs.
3. Chart customization: Users can adjust and modify charts according to actual needs to meet personalized needs.
Research ideas, research methods, feasibility
The idea of this research is to design and implement a comprehensive, flexible, and easy-to-use large-screen full-screen system for data visualization through the combination of data processing and analysis modules, visual display modules, and user interaction modules based on the Python and Django frameworks. The feasibility of this study is analyzed from the following aspects:
1. Technical feasibility: Python and Django frameworks are currently widely used technical tools with powerful data processing and visualization capabilities, which can meet the needs of this research.
2. Data feasibility: Hotel business data is extensive and has inherent regularity, and valuable information can be obtained through data processing and analysis.
3. User feasibility: The hotel industry has a strong demand for data analysis and visualization, and has a certain market and application foundation.
4. Resource feasibility: The technical resources and data resources required for this study are relatively extensive and accessible.
Research schedule
The schedule of this study is as follows:
1. Complete the project proposal report (1 week): elaborate on the research background, significance, research ideas and methods, functional requirements analysis, etc.
2. Requirements analysis and system design (2 weeks): Based on user needs, conduct demand analysis and system design to clarify system functions and interface design.
3. Database design and construction (1 week): Design the database table structure and build the database environment.
4. Data processing and analysis module development (3 weeks): Develop data processing and analysis modules to achieve data cleaning, conversion and analysis.
5. Visual display module development (2 weeks): Use Python's visualization library to develop a data display module.
6. User interaction module development (2 weeks): Use the Django framework to develop interactive functions such as user management, data query, and chart customization.
7. System testing and optimization (2 weeks): Comprehensive testing of the system, fixing bugs and optimizing system performance.
8. Writing thesis (2 weeks): Complete the writing and submission of the graduation thesis.
Thesis (design) writing outline
The paper (design) of this research will contain the following main contents:
1. Introduction: Explain the background, purpose and significance of the research.
2. Related technologies and theories: Introduce the basic concepts and features of Python and Django frameworks, and introduce related technologies and theories of data processing and visualization.
3. System requirements and design: Conduct detailed demand analysis and design of system functions, including back-end functions and front-end functions.
4. System implementation and testing: Detailed introduction to the system implementation process and test results.
5. System optimization and improvement: Perform performance optimization and functional improvements on the system, and propose future research directions and