irdoshi/Covid-Data-Analysis-Africa

# Covid-Data-Analysis-Africa In this project, the objective was to analyze and manipulate a COVID-19 dataset for African countries. The dataset contained information regarding confirmed cases and deaths in various countries. The following steps were taken: - Loaded the list of African countries from the "countries-africa.csv" file. - Determined the total number of African countries listed in the file. - Collected the names of COVID data files (starting with "covid-global") into a character vector. - Extracted African countries from the COVID data by loading the COVID data file for October 2021. - Identified the African countries present in the COVID data for October 2021. - Determined the number of African countries found in the COVID data. - Identified the African countries that did not match with the COVID data. - Amended the list of African countries by identifying how these countries were written in the COVID data. - Adjusted the list of African countries to match the names used in the COVID data. - Verified the effectiveness of the amended list by identifying the remaining unmatched countries. - Loaded and merged all datasets. - Extracted the date part from the first file name and converted it to a Date object. - Created an empty dataset for the final merged data. - Looped over all the COVID data files, loaded each file, extracted data for African countries, and selected the number of deaths. - Extracted the year and month from the file name and added them to the extracted data. - Merged the extracted data with the final dataset. - Displayed the time series by extracting the population size for each African country. - Computed the death rate for each country by dividing the number of deaths by the population. - Determined the top 10 countries with the highest death rates. - Created a plot showing the growth of death rates over time for these 10 countries. - Computed the number of new monthly deaths per 1 million population and displayed it on the plot. - Iden …