Online Food Ordering Activity

This dataset investigates online food ordering (OFO) behavior, focusing on young adults (ages 16–30) to explore the relationship between OFO usage, order frequency, and obesity. The study hypothesizes that frequent OFO usage may correlate with higher BMI levels due to food choices and ordering convenience and that factors like impulsive decision-making, tech-savviness, promotional offers, and convenience are key drivers of OFO frequency. Additionally, it proposes that frequent and infrequent users exhibit distinct behaviors, with frequent users more aware of nutritional quality and infrequent users citing cost concerns as a barrier. The dataset contains 343 records with columns covering demographics, health, economic factors, and behavioral motivations for OFO, as well as preferred platforms. Key findings show a weak positive association between OFO frequency and obesity (p-value = 2.43e-7, coefficient = 0.28), and classification models such as Random Forest achieve 81% accuracy in predicting frequent users, identifying convenience, variety, and promotional discounts as top motivators. The dataset provides a basis for modeling OFO behavior and assessing health implications, with potential applications in consumer segmentation and public health, revealing cultural and economic factors shaping OFO practices.

The data was collected by via a survey, which had questions split into two sections: demographics and OFO-related factors. Comprising 25 questions, the survey included text-based items, multiple-choice questions, checkboxes, and Likert scale items. Administered anonymously via Google Forms, it prioritized respondent privacy and ease of completion. After gathering initial feedback from peers, adjustments were made to refine the final version.

本数据集旨在探究在线食品订购（OFO）行为，聚焦于青年群体（16-30岁），以揭示OFO使用频率、订购频率与肥胖之间的关系。研究假设高频OFO使用可能与更高的BMI水平相关，这归因于食物选择和订购便利性，而诸如冲动决策、技术熟练度、促销活动和便利性等因素是OFO使用频率的关键驱动因素。此外，研究提出高频用户和低频用户展现出不同的行为模式，高频用户对营养质量更为关注，而低频用户则以成本问题作为障碍。数据集包含343条记录，涵盖人口统计学、健康、经济因素和OFO行为动机，以及偏好的平台。关键发现显示OFO使用频率与肥胖之间存在弱正相关关系（p值=2.43e-7，系数=0.28），随机森林等分类模型在预测高频用户方面达到81%的准确率，识别出便利性、多样性和促销折扣为主要的动机因素。该数据集为建模OFO行为和评估健康影响提供了基础，具有在消费者细分和公共卫生领域的潜在应用，揭示了塑造OFO实践的文化和经济因素。

数据收集通过调查进行，调查问题分为两个部分：人口统计学和OFO相关因素。包含25个问题的调查包括基于文本的项目、多项选择题、复选框和利克特量表项目。通过匿名方式在Google表单上实施，优先考虑受访者隐私和完成便利性。在收集到同行初步反馈后，对最终版本进行了调整以完善调查。