vitalhakiz/COVID-19-Mobility-and-Epedemiological-Models

By considering the combined COVID-19 and Mobility dataset for Rwanda, and Using interactive visualization tools, apply visual analytics to identify the places (retail and recreation, transit, parks, workplaces, groceries, and pharmacies, and residential) that experienced the biggest changes in mobility patterns based on government action, then also to plot the disease burden and mobility trends over the period in the dataset and finally to determine the pattern of relationships that exist between mobility patterns and COVID-19 data # COVID-19-Mobility-and-Epedemiological-Models By considering the combined COVID-19 and Mobility dataset for Rwanda, and Using interactive visualization tools, apply visual analytics to identify the places (retail and recreation, transit, parks, workplaces, groceries, and pharmacies, and residential) that experienced the biggest changes in mobility patterns based on government action, then also to plot the disease burden and mobility trends over the period in the dataset and finally to determine the pattern of relationships that exist between mobility patterns and COVID-19 data