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重庆旅游景点数据分析系统是一个专门为旅游管理部门和景点运营商设计的信息化工具，它通过集成和分析各种数据来优化景点管理和提升游客体验。该系统能够实时收集游客流量、景点信息、满意度反馈等关键信息，帮助管理者洞察游客行为和市场趋势。系统利用统计分析和数据挖掘技术，能够从大量数据中提取有价值的信息，如景点热度排名、高峰时段预测、游客评分分析等。这些分析结果对于制定营销策略、调整运营时间和改善服务设施具有重要意义。重庆旅游景点数据分析系统为旅游业提供了一个科学、高效的决策支持工具，它不仅能够增强景点吸引力和提高游客满意度，还能促进重庆旅游业的整体发展和竞争力。
本文主要讨论了以Python为编程语言，Django为框架，MySQL数据库以及开发易于使用的重庆旅游景点数据分析系统建设计划的主要思想。在这篇文章中,系统研究的背景和意义、开发技术、系统分析、数据库设计、详细的系统设计等信息系统的设计和开发过程的焦点。
关键词：旅游景点；Python；Django框架；MySQL
Abstract
Chongqing Tourist Attractions Data Analysis System is an information tool designed specifically for tourism management departments and scenic spot operators, which integrates and analyzes various data to optimize scenic spot management and enhance tourist experience. The system can collect key information such as tourist flow, scenic spot information and satisfaction feedback in real time to help managers gain insight into tourist behavior and market trends. Using statistical analysis and data mining technology, the system can extract valuable information from a large number of data, such as scenic spot popularity ranking, peak period prediction, tourist rating analysis and so on. These analysis results are of great significance for formulating marketing strategies, adjusting operating hours and improving service facilities. Chongqing Tourist attractions Data analysis System provides a scientific and efficient decision support tool for the tourism industry, which can not only enhance the attraction of scenic spots and improve tourist satisfaction, but also promote the overall development and competitiveness of Chongqing tourism industry.
This paper mainly discusses the main idea of using Python as programming language, Django as framework, MySQL database and the construction plan of developing an easy-to-use data analysis system for Chongqing tourist attractions. In this article, the background and significance of systems research, development techniques, system analysis, database design, detailed system design and other information system design and development process focus.
Keywords: tourist attractions; Python; Django framework; MySQL
目 录
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