Statistical data analysis for Tourism in Poland in R Programming Environment

TL;DR

This paper demonstrates how R programming can be used for statistical analysis of tourism data in Poland, revealing relationships between trip purpose, accommodation, and expenditure patterns, with insights into data correlations and limitations.

Contribution

It introduces a comprehensive R-based methodology for analyzing tourism data, including visualization, multivariate statistics, and hypothesis testing, tailored to Polish tourism datasets.

Findings

Significant relationship between accommodation type and trip purpose

Strong correlation between organizer and private expenditure

No significant difference in total expenditure across travel types

Abstract

This study utilises the R programming language for statistical data analysis to understand Tourism dynamics in Poland. It focuses on methods for data visualisation, multivariate statistics, and hypothesis testing. To investigate the expenditure behavior of tourist, spending patterns, correlations, and associations among variables were analysed in the dataset. The results revealed a significant relationship between accommodation type and the purpose of trip, showing that the purpose of a trip impacts the selection of accommodation. A strong correlation was observed between organizer expenditure and private expenditure, indicating that individual spending are more when the spending on organizing the trip are higher. However, no significant difference was observed in total expenditure across different accommodation types and purpose of the trip revealing that travelers tend to spend similar amounts regardless of their reason for travel or choice of accommodation. Although significant relationships were observed among certain variables, ANOVA could not be applied because the dataset was not able to hold on the normality assumption. In future, the dataset can be explored further to find more meaningful insights. The developed code is available on GitHub: https://github.com/SaadAhmedJamal/DataAnalysis RProgEnv.