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

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.