Crawler Data Visualization in the Tourism Industry Based on Python

Abstract

Data visualization is being widely used in various fields, such as medicine, biology, economics, and other disciplines. In the tourism industry, whether the display of tourism resources, the planning of tourism routes, the feedback of tourists' experience, and so on, all of them become clearer and more intuitive through data visualization. In particular, Python-based data visualization has many advantages in the tourism industry. This paper mainly analyzes the current situation and advantages of Python-based data visualization in the tourism industry, and puts forward corresponding improvement measures and suggestions, aiming to help tourism practitioners and tourists use data visualization more conveniently and efficiently. It is found that data visualization plays an important role in displaying tourist attractions, planning tourist routes, and enhancing the experience of tourism services. However, the problems of data visualization in tourism, such as insufficient interactivity and single visualization style, require improvement measures. For example, methods such as optimizing algorithms and introducing interactive visualization tools can solve these problems. The purpose of this study is to promote a wider and more effective application of data visualization in the tourism industry so that tourism-related industries can be more efficient and intuitive when using data visualization tools.