Airbnb Places in Dominican Republic

This dataset has detailed information on 5038 Airbnb listings in several important tourist areas of the Dominican Republic: Santo Domingo, Punta Cana, Boca Chica, Juan Dolio, Puerto Plata, La Romana, Bayahibe, Cabarete, Sosua, and Samaná. The idea behind this research is that specific factors of the accommodations, like location, maximum guest capacity, user ratings, and additional features (like instant booking or pet-friendly options), significantly influence user preferences and accommodation prices in these regions.
This dataset is very useful for researchers, tourism professionals, and data analysts who want to understand what factors affect user preferences on Airbnb in the Dominican Republic. The data can be used to analyze the market, set pricing strategies, evaluate host quality and performance, research trends in traveler preferences, and develop models to predict accommodation prices.
In the file "Hospedajes_RD-CLEANED", you'll find the cleaned original dataset, while in "Hospedajes_RD-RAW," you'll find the dataset with missing values filled in using the K-Nearest Neighbor (KNN) model. I'm offering both the original and the filled-in datasets so users can choose the one that suits them best.

本数据集收录了多米尼加共和国境内10处核心旅游区域共计5038套爱彼迎（Airbnb）房源的详细信息，涵盖圣多明各、蓬塔卡纳、博卡奇卡、胡安多利奥、普拉塔港、拉罗马纳、巴亚伊贝、卡瓦雷特、索苏阿以及萨马纳。

本研究的核心逻辑在于：住宿的多项特定属性——如地理位置、最大客容量、用户评分，以及即时预订、宠物友好等附加特性——会对该区域内的用户预订偏好与房源定价产生显著影响。

本数据集可为探究多米尼加共和国境内爱彼迎平台用户偏好影响因素的研究人员、旅游行业从业者及数据分析人员提供重要支撑，可应用于市场态势分析、定价策略制定、房东运营质量与绩效评估、旅行者偏好趋势研究，以及构建房源价格预测模型等诸多场景。

在文件"Hospedajes_RD-CLEANED"中，可获取经过标准化清洗的原始数据集；而在"Hospedajes_RD-RAW"中，则包含使用K近邻（K-Nearest Neighbor, KNN）模型补全缺失值后的数据集。本次发布同时提供原始数据集与补全后数据集，供使用者根据自身需求灵活选择适配的版本。