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COVID-19 disease is an infectious disease caused by Coronavirus. Studying COVID-19 influencing factors has become essential by many researchers in various scientific disciplines. This study analyzes factors that may impact the total COVID-19 infection and death cases in selected countries. The factors we study are population density, age, healthcare factors, temperature, humidity, wind speed, and government responses. We utilize exploratory data analysis techniques and statistical measures to understand the relationships between variables. The results show that the population density factor, age, and government measures are strongly correlated with the total infection and death cases, whereas, temperature, humidity, and wind speed factors are not correlated with cases. This study may help in containing the disease and limiting its spread.