How to Improve Tourism Data Analysis Processing using Python: Focusing on Comparison with SPSS Program

Hak-Jun Song, Min-Hui Chang, Do-Yeon Kim
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Abstract

The use of data analysis in the tourism industry is becoming more prevalent as the importance of data-based decision making increases in the era of big data. Python, an open source program, has gained popularity as an alternative to traditional software like SPSS due to its ability to incorporate the latest techniques, provide clear data visualization, and facilitate the sharing of analysis results. This study compared the basic statistical analysis capabilities of Python and SPSS in the tourism industry and found no significant differences between the two. Therefore, Python could be a useful tool for expanding and innovating data analysis methods in various academic fields, including tourism.
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如何用Python改进旅游数据分析处理:重点与SPSS程序比较
在大数据时代,基于数据的决策越来越重要,数据分析在旅游业中的应用也越来越普遍。Python是一个开源程序,由于它能够结合最新技术,提供清晰的数据可视化,并促进分析结果的共享,因此作为传统软件(如SPSS)的替代品而受到欢迎。本研究比较了Python和SPSS在旅游行业的基本统计分析能力,发现两者之间没有显著差异。因此,Python可以成为扩展和创新各种学术领域(包括旅游业)数据分析方法的有用工具。
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