python Zhejiang Hangzhou hotel data visualization large-screen full-screen system design and implementation (django framework)

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Python Zhejiang Hangzhou hotel data visualization large-screen full-screen system design and implementation (Django framework) proposal report

1. Research background and significance

With the rapid development of tourism, the hotel industry, as an important part of the tourism industry chain, is facing increasingly fierce market competition. In order to better improve hotel business operation efficiency and customer experience, the data visualization large-screen system came into being. As a famous tourist city in China, Hangzhou, Zhejiang's hotel industry is representative and valuable for research. Therefore, this research aims to design and implement a large-screen full-screen system for hotel data visualization in Hangzhou, Zhejiang, based on Python and Django frameworks, to help hotel managers monitor and analyze hotel operation data in real time and provide scientific basis for decision-making.

2. Research status at home and abroad

Domestic and foreign research on data visualization large-screen systems has achieved certain results. Abroad, data visualization tools such as Tableau and Power BI have been widely used in various industries. Domestically, data visualization platforms such as Smartbi and Yonghong BI are also gradually favored by enterprises. However, in the hotel industry, there is relatively little research on data visualization large-screen systems specifically targeting the Hangzhou area of ​​Zhejiang, especially in terms of using Python and Django frameworks.

3. Research ideas and methods

This research will adopt the following ideas and methods:

1. Data source: Obtain operating data of hotels in Hangzhou, Zhejiang, from major travel platforms through crawler technology, including occupancy rates, customer satisfaction, room prices, etc.
2. Data cleaning and processing: Use Python to clean and process data, remove duplicate values, missing values ​​and outliers to ensure the accuracy and completeness of the data.
3. Data visualization design: Use the Django framework to build a large-screen data visualization system, and combine it with Echarts and other visualization libraries to design data charts.
4. System implementation: Import the cleaned data into the database, and realize real-time update and query of the data through the Django background management system. At the same time, the front-end page is developed to realize the full-screen display and interactive functions of the large-screen system.
5. System testing and optimization: Test the system, including functional testing, performance testing, security testing, etc., and optimize and improve the system based on the test results.

4. Research content and innovation points

The main contents of this study include:

1. Acquisition and processing of data sources: Obtain operational data of hotels in Hangzhou, Zhejiang through crawler technology, and use Python for cleaning and processing.
2. Design of data visualization large-screen system: Use Django framework and visualization libraries such as Echarts to design data charts to achieve full-screen display and interactive functions of the large-screen system.
3. Analysis and implementation of system backend function requirements: Based on the actual needs of hotel managers, analyze and implement the system's backend management functions, including data update, query and export, etc.
4. Analysis and implementation of system front-end functional requirements: According to the actual needs of users, analyze and implement the system's front-end interactive functions, including large-screen display, chart switching, and data filtering.

The innovations of this study are mainly reflected in the following aspects:

1. Strong pertinence: The design and implementation of the data visualization large-screen system is specifically aimed at the hotel industry in Hangzhou, Zhejiang, and is highly pertinent and practical.
2. Technical innovation: The design and implementation of a large-screen data visualization system using Python and Django frameworks is technically innovative and advanced.
3. Real-time data update: Real-time data update and query are realized through the Django background management system, ensuring the timeliness and accuracy of the data.
4. Strong interactivity: Develop front-end pages to realize full-screen display and interactive functions of large-screen systems, enhancing user experience and operational convenience.

5. Backend functional requirement analysis and front-end functional requirement analysis

Backend functional requirements analysis:

1. Data management: Implement operations such as adding, modifying, deleting and querying hotel operation data.
2. User management: Implement functions such as adding, modifying, deleting and permission management of system users.
3. Log management: Record system operation logs and exception logs to facilitate problem tracking and troubleshooting.
4. Data export: Supports exporting data to Excel, CSV and other formats to facilitate data analysis and processing.

Front-end functional requirements analysis:

1. Large-screen display: Display hotel operation data in the form of charts on the large screen, supporting functions such as full-screen display and chart switching.
2. Data filtering: Supports filtering and querying data according to time, hotel name and other conditions.
3. Chart interaction: Supports operations such as zooming in, zooming out, and dragging charts to enhance user experience and operational convenience.
4. Multi-terminal adaptation: supports display and operation on different terminals, including PC, mobile and tablet terminals.

6. Research ideas, research methods, and feasibility analysis

This study uses Python and Django frameworks to design and implement a large-screen data visualization system, which is technically feasible and advanced. At the same time, through in-depth research and analysis of the hotel industry in Hangzhou, Zhejiang, the accuracy and completeness of the data source can be guaranteed. During the system design and implementation process, user experience and operational convenience will be fully considered to ensure the practicality and ease of use of the system. In addition, this study will fully test and optimize the system to ensure the stability and security of the system. Therefore, this research has high feasibility and practical value.

7. Research progress arrangement

This research plan is divided into the following stages:

The first stage (1-2 months): Conduct literature research and needs analysis, and clarify the research objectives and content.
The second stage (2-3 months): Acquire and process data sources, including the design and writing of crawler programs and data cleaning and processing. At the same time, the overall design of the system and database design are carried out.
The third stage (3-4 months): Carry out detailed design and implementation of the system, including the development of back-end management functions, the design and development of front-end pages, and the design and implementation of data visualization charts, etc. . At the same time, preliminary testing and debugging of the system will be carried out.
The fourth stage (1-2 months): Carry out system optimization and improvement work, including performance optimization, security hardening, and user experience improvement. At the same time, comprehensive testing and evaluation of the system will be carried out to ensure the stability and practicality of the system. Finally complete the writing of the proposal report and thesis and submit it for review.

8. Expected results and benefit analysis

This research is expected to achieve the following results:

1. Design and implement a large-screen full-screen system for hotel data visualization in Hangzhou, Zhejiang based on Python and Django frameworks to achieve real-time monitoring and analysis of hotel operation data.
2. This paper proposes a data visualization large-screen system design plan for the hotel industry in Hangzhou, Zhejiang, providing scientific basis and practical reference for relevant enterprises.
3. The feasibility and practicability of this system are verified through practical application, and the work efficiency and decision-making level of hotel managers are improved.

Benefit Analysis:

1. Improve hotel operation efficiency: Through this system, hotel managers can monitor and analyze hotel operation data in real time, discover problems in a timely manner and take measures to solve them, thereby improving hotel operation efficiency.
2. Improve customer experience: Through this system, hotels can gain a deeper understanding of customer needs and preferences and provide more personalized services, thereby improving customer experience.
3. Enhance corporate competitiveness: Through this system, hotels can formulate operational strategies and marketing strategies more scientifically to enhance corporate competitiveness.

9. Risks and Countermeasures

This research may face the following risks:

1. Inaccurate or incomplete data sources: If data sources are inaccurate or incomplete, it will affect the accuracy and usefulness of the system. In order to reduce this risk, this study will obtain data through multiple channels, clean and process the data to ensure the accuracy and completeness of the data.
2. Technical implementation is difficult: Since this system involves the application of Python and Django frameworks and the implementation of data visualization technology, technical implementation is difficult. In order to reduce this risk, this study will strengthen technical research and learning, and seek professional technical support and guidance.
3. Changes in market demand: Changes in market demand may reduce the application value of this research results. In order to reduce this risk, this research will pay close attention to changes in market demand and adjust the research direction and content in a timely manner.

10. Paper (design) writing outline

1. introduction

   • research background and meaning
   • Research status at home and abroad
   • Research ideas and methods
   • Research content and innovation points

2. Data source acquisition and processing

   • Introduction to data sources
   • Data cleaning and processing methods
   • Data storage and management solutions

3. Data visualization large screen system design

   • Overall system architecture design
   • Database design and implementation
   • Analysis and implementation of backend management function requirements
   • Analysis and implementation of front-end interactive function requirements

4. System implementation and test optimization

   • Introduction to system development environment and tools
   • Background management function implementation process description and effect display
   • Front-end interactive function implementation process description and effect display
   • System testing method, result analysis and optimization plan proposed

5. Benefit Analysis and Prospects

   • System application benefit analysis
   • Discussion of existing problems and improvement directions
   • Forecast and outlook of future development trends

6. Conclusion and Outlook. Summarize the results and shortcomings of this research work, and propose directions and suggestions for future research work.

7. references. List the main references cited in this study.

8. Acknowledgments. Thanks to the teachers, classmates and related personnel who provided guidance and help during the process of this research.

9. appendix. Attached are the relevant charts, codes and other information generated during this research process.

11. Summary and Acknowledgments
As I complete this proposal report, I would like to thank all the teachers, classmates and related personnel who have given me guidance and help. Your support and encouragement are the source of motivation for me to keep moving forward. At the same time, I would also like to thank the hotel industry in Hangzhou, Zhejiang Province for providing data support and practical opportunities that allow me to have a deeper understanding of the needs and challenges of this industry. Finally, I would like to thank the Python and Django frameworks and data visualization technology for providing me with strong technical support and a source of inspiration to complete this meaningful research project.

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Proposal report: Design and implementation of python Zhejiang Hangzhou hotel data visualization large-screen full-screen system (django framework)

1. Research background and significance

With the rapid development of tourism and people's increasing demand for travel, the hotel industry has also developed rapidly. Hotels are an indispensable part of the travel process. For travelers, it is crucial to provide high-quality services and comfortable accommodation. However, how to improve hotel services and enhance user experience based on travelers' needs and opinions has become an important task facing hotel managers.

The development of data visualization technology provides hotel managers with an intuitive and clear way to display the hotel's operational data and user feedback. Through the collection, organization and visual presentation of large amounts of hotel-related data, hotel managers can gain a more comprehensive understanding of the hotel's operating conditions, travelers' preferences and needs, and thus make more scientific and effective management decisions.

This project intends to design and implement a large-screen full-screen system for hotel data visualization in Hangzhou, Zhejiang based on python. It uses the django framework to build a backend management system to realize the collection, processing, analysis and visual display of hotel data. Through real-time monitoring and analysis of hotel-related data, as well as the collection and processing of user evaluation and feedback data, hotel managers can better understand the hotel's operating status and user needs in order to better meet the needs of travelers and provide more Excellent hotel service.

2. Research status at home and abroad

At present, there have been some studies on hotel data visualization at home and abroad. Foreign research mainly focuses on data collection, processing and visualization methods, using various data mining and data visualization technologies to analyze and visually display hotel operating data and user feedback. Domestic research mainly focuses on the collection and processing of hotel user evaluation data. Through the analysis of user evaluation data, we can understand user satisfaction and improvement opinions on hotel services, and put forward improvement suggestions.

However, there are still several problems in current domestic and foreign research: First, the real-time monitoring and analysis capabilities of hotel data are weak, and problems cannot be discovered and solved in a timely manner; second, the processing and analysis of user evaluation data are relatively simple and cannot be deeply explored. User needs and preferences; third, the visual display method of hotel data is relatively single and cannot meet the needs of different managers.

3. Research ideas and methods

This topic plans to use python language and django framework for system design and implementation. The specific research ideas and methods are as follows:

1. Data collection and processing: Use web crawler technology to collect relevant data about hotels in Hangzhou, Zhejiang, including basic hotel information, operational data and user evaluation data. Clean and organize the collected data for subsequent analysis and visual display.

2. Data analysis and visualization: Use the data analysis and visualization library in python to analyze and process the collected hotel data to find out the patterns and trends. Use various charts and visualization methods to display the analysis results intuitively and clearly, so that hotel managers can better understand the hotel's operating status and user needs.

3. User feedback and processing: Design and implement a user feedback system to collect user evaluations and feedback information about the hotel. Process and analyze the collected user feedback data, extract useful information, and provide hotel managers with improvement suggestions.

4. System design and implementation: Use the Django framework to build a backend management system, including data collection, processing, analysis and visual display functions. Design and implement front-end interface to implement user feedback and evaluation functions.

4. Research innovation points and core

The innovation and core of this topic are mainly reflected in the following aspects:

1. Use the Django framework to build a backend management system to realize the collection, processing, analysis and visual display of hotel data.

2. Design and implement a user feedback system to collect user evaluations and feedback information on the hotel and provide hotel managers with improvement suggestions.

3. Various charts and visualization methods are used to intuitively and clearly display the analysis results of hotel data, so that hotel managers can better understand the hotel's operating status and user needs.

5. Backend functional requirement analysis and front-end functional requirement analysis

Backend functional requirements analysis:

1. Data collection: Realize the collection and storage function of hotel data, including basic hotel information, operational data and user evaluation data.

2. Data processing: Clean, organize and process the collected hotel data for subsequent analysis and visual display.

3. Data analysis: Use various data analysis algorithms and technologies to analyze and mine hotel data to find out the patterns and trends.

4. Visual display: Use various charts and visualization methods to display data analysis results intuitively and clearly, so that hotel managers can better understand the hotel's operating status and user needs.

Front-end functional requirements analysis:

1. User feedback and evaluation function: Design and implement a user feedback system to collect user evaluation and feedback information on the hotel.

2. Data visualization display interface: Design and implement an intuitive and clear data visualization display interface so that hotel managers can better understand the hotel's operating status and user needs.

3. User login and registration functions: Implement user login and registration functions to protect user privacy and data security.

6. Research ideas, research methods, and feasibility

The research idea of ​​this topic is to design and implement the system based on python language and django framework. Use web crawler technology to collect hotel data, and use data analysis and visualization technology for data processing and display. Design and implement a user feedback system to collect user evaluations and feedback information on the hotel.

The feasibility of this research method is mainly reflected in the following aspects: first, the python language and django framework have high flexibility and scalability, which can meet the needs of system design and implementation; second, web crawler technology and data analysis and visualization The technology has relatively mature solutions and cases for reference in practical applications; third, by collecting, processing and visually displaying hotel data in Hangzhou, Zhejiang, it can provide hotel managers with scientific and effective solutions.