ABSTRACT
Coronavirus causes humans mild to acute respiratory illness, even death. The name comes from spikes that project from its surface and resemble a solar corona. A worldwide data base from the CSSEGIS and Johns Hopkins University has records on this virus since 2019, keeping track of daily totals of active cases and deaths worldwide. The present chapter analyzes comparable cases from developed, developing, and underdeveloped countries to aid administrators to take appropriate control measures for COVID-19, as the disease is termed. This comparative study of COVID-19 data analysis explores the present situation of total COVID cases, using data downloaded from the 2020 CSSEGIS worldwide repository. This study tries to fulfill the research gap between comparative analysis of the COVID-19 data analysis of growing new COVID cases each day and the cases of three countries (Nepal, India, and the United States) for examples of total, confirmed, and aggregate data sets of current trends using R Programming.
The United States has the highest number of cases worldwide, and Brazil has the second-highest number when the population ratios are considered. The line chart, bar chart, and total line plots indicate the similar results, and the statists regression demonstrates the trend globally corresponds to these countries. From the analysis of these sampled countries, Brazil the highest followed by India, and the United States has had the most total cases and Nepal least developed country has in increasing trend. The line chart, bar chart and total plots indicates similar results using R Programming.
