Data Analysis and Visualization Application Research on Popular Scenic Spots in China

Abstract

With the continuous improvement of people’s living standards, tourism has gradually become one of the important ways for people to relax and entertain. The demand of tourists for attractions is constantly changing with the further development of tourism. In order to better show users with travel plans more intuitive information about scenic spots and make them easy to use, crawler technology based on the Scrapy [1] framework is adopted in this paper in order to crawl the information of attraction on Qunar tourism website and save it in MySQL database, then the relevant data obtained will be cleaned and analyzed and the data visualization will be realized by using Echarts [2] and Wordcloud methods. Finally, the combination of Flask, a lightweight web framework, and front-end will be used to complete the data visualization platforms [3]–[5], so as to promote users’ visual perception of data in an intuitive and efficient way.