sidbannet / covid-19_analysis Goto Github PK

Automate the data analysis using reading from new daily reports and also writing them out in the compiled data as csv file

Report spread metric in csv format.

Use high-performance computing techniques including

• Multiple core for loop for parsing
• Use data block to parse data in time series based parsing
• Research how to use hardware accelerators to do faster parsing.

Instead of other or ROW, use world cumulative based on reports. Also for US.

To refactor the data frame so that it is easy to filter out the data from particular geographical region.

Add bubble map from the time series data from JHU repository.

• Add parsing method to parse data from time series

• Compile the parsed data from the time series

• Add method to animate geo scatter plot based on number of cases, deaths and recovered both on world and US and color the bubble based on the rate of growth.