In this project a dataset containing daily confirmed cases and deaths globally and within each country individually was used in order to find relations between them.
This was a 15 page report for the "Programming tools & techniques for data analysis" course in PhD program of National Technical university of Athens(NTUA)
Project Grade 10/10 (excellent)
- The dataset was taken from
a)https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv
for confirmed cases
b)https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv - An analysis combining two datasets, the aforementioned and a dataset containing population information and other geographical informatics.
- in this way valuable information extracted about the way each country or even continent responded to the COVID-19 pandemic on 2020.
- Code available for professor's tasks in assignment.Rmd
- Code not available for self-implemented analysis that is extra from the assignment.
- Below are presented some of the results from the data analysis. For extended description of the results do not hesitate to open Covid analysis report.pdf
