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2020-covid-19-data-visualisation icon 2020-covid-19-data-visualisation

COVID-19 has become a serious problem worldwide. So far, many countries are still trying to control the spread of this disease. Thus, by analyzing patient information in various countries, such as age, sex, travel history, etc., to study which factors of patients are most important or what the conditions of patients are the most likely to be infected. Based on the open data collected online, I will show the situation of this virus in the world and typical countries through data exploration by R and data visualization by JS in three parts. In the first part, I will show the top 15 countries and their number of confirmed cases over time. Second part, analyzing South Korea patients’ information, the relationship between age and confirmed case number in each province, and whether temperate impacts the number of recovered patients. The last part, by comparing the age group and sex and travel history of South Korean and Canadian patients, visualizing to show which people with the conditions have a greater risk of infection.

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