Blogger introduction : Teacher Huang Juhua is the author of the books "Introduction to Vue.js and Practical Mall Development" and "WeChat Mini Program Mall Development", CSDN blog expert, online education expert, CSDN diamond lecturer; specializes in graduation design education and tutoring for college students.
All projects are equipped with video courses on basic knowledge from entry to mastery, and you can prepare for the graduation project defense after learning.
The project is equipped with corresponding development documents, proposal report, task statement, PPT, thesis template, etc.The project has recorded release and functional operation demonstration videos; the interface and functions of the project can be customized, and installation and operation are included! ! !
If you need to contact me, you can check Teacher Huang Juhua on the CSDN website.
You can get the contact information at the end of the article.
research background and meaning:
With the rapid development of the Internet, people's demand for delicious food is also increasing. At the same time, a large number of food reviews and recommendation information are also emerging on the Internet. However, the authenticity and validity of this information are often difficult to guarantee, and users often need to spend a lot of time and energy selecting suitable food merchants.
To address this problem, crawler technology can help us automatically crawl the data information of food merchants from the Internet, including merchant names, addresses, ratings, comments, etc. This data can help users choose suitable food merchants more quickly and accurately.
In addition, data visualization technology can visually display the captured data in the form of charts, maps, etc., helping users better understand and analyze the data. Through data visualization, users can intuitively understand the distribution, ratings, user reputation and other information of food merchants, thereby better guiding their choices.
Therefore, the design and implementation of the Guangdong Dongguan food merchant data visualization system based on Python crawler has important research significance and practical application value.
Research status at home and abroad:
At present, domestic and foreign researchers have begun to conduct some research on the crawling and visualization of food data.
In terms of data crawling, domestic and foreign researchers mainly use Web crawler technology to crawl online food data. Domestic researchers mainly focus on the construction and optimization of food recommendation systems. By capturing users' evaluation and comment information, they build user portraits to provide personalized recommendation services. Foreign researchers pay more attention to the visualization of food data. They capture and organize a large amount of food merchant data and display it in charts, maps, etc. to help users make better food choices.
In terms of data visualization, domestic and foreign researchers have proposed a series of visualization methods and tools. For example, domestic researchers built a geographic information database for food merchants, visualized the data as a map, and conducted heat map analysis based on user rating data to help users choose food based on location and ratings. Foreign researchers, on the other hand, pay more attention to displaying ratings, comments and other information of food merchants through charts to help users better understand the data.
However, current research on crawling and visualizing food merchant data in Dongguan, Guangdong is still relatively limited. As a developed economic city, Dongguan, Guangdong has many food merchants, but it is still difficult for users to select suitable merchants. Therefore, the design and implementation of the Guangdong Dongguan food merchant data visualization system based on Python crawler has important research significance and practical application value.
Through the design and implementation of this study, automatic capture and visual display services of food merchant data in Dongguan, Guangdong can be provided to help users better choose suitable food merchants. At the same time, it can also provide relevant researchers with a reference implementation based on Python crawler and Django framework to promote research and development in related fields.
1. Research background and significance of the design and implementation of data visualization system for food merchants in Dongguan, Guangdong based on Python crawler
Research Background
In today's information age, data acquisition and analysis have become the core competitiveness of various fields. Especially in the catering industry, with the improvement of people's living standards and changes in consumption concepts, food culture has gradually become an important part of urban culture. As an important economic town in southern China, Dongguan, Guangdong Province not only has developed industry, but also has unique food culture, attracting a large number of diners to come and taste it. However, for tourists and local residents, how to quickly and accurately obtain information about Dongguan food merchants and make effective comparisons and choices has become an urgent problem to be solved.
Python-based crawler technology can automatically crawl the required data from the Internet, providing a convenient way to obtain food business information. As a mature and stable web development framework, the Django framework can efficiently build a data visualization system and display the crawled data to users in an intuitive and easy-to-understand form. Therefore, this research aims to design and implement a data visualization system for food merchants in Dongguan, Guangdong based on Python crawler and Django framework to improve users' food experience and information acquisition efficiency.
Significance
- Promote the inheritance and development of food culture : Through the data visualization system, the diversity and uniqueness of Dongguan's food culture can be more intuitively displayed, helping to promote the inheritance and development of local food culture.
- Improve the informatization level of the catering industry : This system can update the information of food merchants in real time, including dishes, prices, reputation, etc., provide comprehensive and accurate data support for the catering industry, and promote the informatization process of the industry.
- Optimize the consumer decision-making process : Through visually displayed food merchant data, consumers can more easily obtain the information they need, compare and choose, thereby optimizing the decision-making process and improving the consumer experience.
- Exploring new models of smart catering : This research is not only an innovation in the traditional way of obtaining catering information, but also a useful exploration of new models of smart catering, providing new ideas and directions for the future development of the catering industry.
2. Current research status at home and abroad based on Python crawler Guangdong Dongguan food merchant data visualization system
Research state in China
In China, with the rapid development of Internet technology and the continuous growth of the catering industry, the acquisition and display of food information has gradually become a research hotspot. Python crawler technology is widely used in capturing and processing food data due to its high efficiency and flexibility. For example, some scholars used a Python crawler to crawl restaurant information on a food review website, and conducted data mining and analysis to evaluate the restaurant's reputation and influence. At the same time, the popularity of web frameworks such as Django has also provided powerful technical support for the online display of food data.
In terms of data visualization, domestic research has also made significant progress. Researchers use various visualization methods such as charts, maps, and heat maps to transform complex food data into intuitive and easy-to-understand graphics and images, providing users with a more convenient way to obtain information. However, there are relatively few studies on data visualization systems specifically targeting gourmet food merchants in Dongguan, Guangdong, which provides broad space and opportunities for this research.
Current status of foreign research
In foreign countries, research on using crawler technology to obtain food data and perform visual analysis started early, and has formed a relatively mature theoretical system and technical route. For example, some scholars analyzed users’ taste preferences and consumption behavior by crawling food-related data on social media. At the same time, foreign countries also have a wealth of choices and advanced technical support in terms of Web development frameworks and data visualization tools.
However, due to differences in catering markets and cultural backgrounds at home and abroad, foreign research results cannot be fully applied to the actual domestic situation. Therefore, while learning from advanced foreign experience and technology, it is also necessary to carry out localized innovation and development based on the specific needs and characteristics of the domestic catering industry.
In summary, the design and implementation of the data visualization system for food merchants in Dongguan, Guangdong based on Python crawlers has important practical significance and application value. Through the development of this research, it is expected to provide new impetus and support for the development of the catering industry in Dongguan, Guangdong and even the wider region. At the same time, this research is also in line with the current development trends of smart catering and informatization at home and abroad, and has important academic value and practical significance.