A Study on Changes in Foreign Tourists Using Big Data Analysis Method

Abstract

Background/Objectives: In this study, by analyzing foreign tourists entering the country by country, we tried to study the changes in the inflow of foreign tourists according to the monthly pattern. Methods/Statistical analysis: For the purpose of using statistical data on foreign tourists entering the country for the purpose of using it as basic data for establishing tourism policy and marketing strategy by the Korea Tourism Organization, data on monthly foreign tourist statistics are collected, and pandas and matplotlib technologies provided by Python are used. Thus, data preprocessing and time series data were analyzed. Findings: The number of foreign tourists steadily increased from 2010 to 2016, but the number of tourists decreased sharply in early 2017. It was analyzed that the number of tourists gradually increased from mid-2017. Every summer, the influx of tourists was analyzed to be very high, and especially in the summer of 2015, the number of tourists was analyzed to have decreased significantly. Improvements/Application: In this study, the trend of monthly tourists by country was analyzed, and if the relationship between social issues in the section in which the change trend curve rapidly decreases, it is likely to be possible to analyze the factors that influence the change of tourists.