ECharts-Based Visualization of the Entire Operation Link for Homestay Platforms

DOI: https://doi.org/10.62517/jbdc.202501428

Author(s)

Yihan Xu1,*, Mengjia Zhang1, Qingfeng Zhou1,2

Affiliation(s)

1Henan University of Technology, Zhengzhou, Henan, China 2Iflytek Co., Ltd., Hefei, Anhui, China * Corresponding Author

Abstract

With the rapid development of the sharing economy, homestay platforms have become an important part of the tourism industry. Based on Airbnb user behavior data, this paper uses big data technology to conduct multi-dimensional analysis of user behavior. The Hadoop ecosystem is used for data storage and processing, Spark is used for data analysis, and DataX is used to achieve data synchronization from HDFS to MySQL. Finally, ECharts is used to achieve data visualization. The research deeply analyzes user behavior characteristics from dimensions such as user profiles, promotion channels, and seasonal preferences, providing data support for homestay platforms to optimize services and formulate precise marketing strategies. Experimental results show that this analysis method can effectively mine user behavior patterns and provide reliable basis for platform operation decisions.

Keywords

User Behavior Analysis; Big Data Analytics; Hadoop; Homestay Platform; Data Visualization; Echarts

References

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