Instructions:
- Download JupyterNotebook or use online version of Jupyterlab.
- Some knowledge of how to use Matplotlib and Pandas library of python
- These visualizations are made specific for a particular format of csv files, so make sure that you first check the layout of the csv file before making any changes to the actual visualization file.
- Download the csv files from the mentioned link in the description to get the latest data of covid and replace old files from your working directories with these new files.
- Make sure to have correct version of pip as according with your python version.
Installations: Checkout this link if you want to install jupyter notebook to your machine. https://www.tutorialspoint.com/matplotlib/matplotlib_anaconda_distribution.htm.
We can change the country and the query month for which we want the visual.
This data shows how much a country is contributing to the confirmed cases. This is the data of new confirmed cases b/w the two dates and the contribution of each country on the second date. World cases are taken as the reference on the second date.
