上海-海南景区天气与酒店态势数据集

本数据集采集的目的是用于提取上海-海南景区的天气发展趋势以及附近的酒店价格等发展趋势。数据采集的来源主要是通过互联网爬虫工具进行爬取，数据处理主要经过数据格式检查、去除不完整和有冲突的数据；利用知识发现与事件抽取算法，对时间，事件和地点进行自动抽取，发现数据中的态势信息；通过人工检验的方式对提取的结果进行测试。数据库范围为景区天气、自媒体、酒店、消费等相关知识数据，包含海南省和上海市景点天气、自媒体、酒店及消费数据，共计16万条，使用MySQL 5.7存储工具进行存储，存储空间占用为13MB。The purpose of this dataset is to extract development trends such as weather trends and nearby hotel price trends for scenic spots in Shanghai and Hainan. The data was primarily collected via web crawler tools. Data processing procedures mainly include data format validation, removal of incomplete and conflicting data; utilizing knowledge discovery and event extraction algorithms to automatically extract time, event and location information to identify situational information within the dataset; and the extracted results were verified and tested through manual inspection. The database covers relevant knowledge data including scenic spot weather, social media, hotel and consumption-related information. It contains data on scenic spot weather, social media, hotels and consumption in Hainan Province and Shanghai, totaling 160,000 entries. The dataset is stored using MySQL 5.7, occupying 13 MB of storage space.

搜集汇总

背景与挑战

背景概述

该数据集旨在分析上海和海南景区的天气变化趋势及附近酒店价格动态，通过互联网爬虫采集并经过数据清洗、知识发现等处理。它包含两地景点天气、自媒体、酒店和消费数据共16万条，使用MySQL 5.7存储，占用13MB空间。