Problem 3 – using Python to analyze data for specific populations

For this section, we’ll state our problem this way – the year is 2020 and the world is overwhelmed by a pandemic due to the SARS-COV-19 virus, also known as coronavirus or COVID-19. The data is widely available and we are trying to look at what’s happening in a specific location – in particular, how the number of deaths is growing for that location. We have the The New York Times GitHub repository, which contains the COVID-19 data, and will download the master data, which is updated daily. Let’s look at what we need to do.

Defining the specific problem to analyze and identify the population

This problem is broad. Too broad! So, first, let’s look at one location for only one month. For example, let’s choose Puerto Rico and the month of October. From the master .csv file, we’ve pulled only the data specific to Puerto Rico and added it to our repository...