COVID-19 Travel Impact Analysis
Summary:
Comprehensive analysis examining the relationship between COVID-19 case rates and international travel trends from 2020-2024, merging WHO pandemic data with U.S. travel statistics to reveal behavioral patterns across pandemic waves.
Goal:
Analyze and visualize the correlation between pandemic waves and international travel behavior
My Contribution:
Cleaned datasets of different time scales, merged 1,983 daily records from two sources, developed visualizations depicting travel behavior and pandemic wave correlations.
Skills Gained:
Python, Pandas, Data Visualization, Data Cleaning, Data Merging, Time-Series Analysis, and the critical importance of meticulous data preparation when working with multiple sources.
Project Materials:
