城市餐饮消费行为数据可视化

摘要

针对团购网站餐饮类消费数据类型的多样性,采用了多视图可视分析方法对城市餐饮消费行为中的消费者地域选择、情感倾向以及热点话题进行了分析,针对餐饮消费行为数据规模庞大、维度信息复杂等特征,基于时空维度设计了多粒度数据过滤方法,在此基础上设计并实现了城市餐饮消费行为可视分析系统.通过对某团购网站上某市餐饮类消费数据的分析表明,系统在用户交互分析下能够有效识别城市餐饮消费行为特征.%Through the study of the catering consumption data of group buying online,the consumer's re-gional choice,emotional tendency and hot topics,etc. of urban catering consumption behaviors were ana-lyzed through multi-view visualization method. For the large scale of catering consumption data and the complex dimension information,a multi-granularity data filtering method based on the space-time dimen-sion was designed. On this basis,a visual analysis system of urban catering consumption behaviors was designed and implemented. The features of urban catering consumption behaviors can be effectively iden-tified by the system through the interaction analysis of catering consumption data on a group buying web-site of a city.