With reports about COVID coming out every hour declaring the death count, it is important to be informed about all the composites that affect the deadliness of this virus. This report will answer the question: “For whom COVID is the most dangerous?” This analysis will overlook what groups are at most risk and take a look at death count overall in the United States.
I used data from nyt (https://github.com/nytimes/covid-19-data) and www1.nyc.go, which broke down data into age segments and whether individuals had underlying conditions or not.
What I discovered is that individuals with underlying conditions are more likely to die from COVID-19:
Additionally, individuals that had underlying conditions and were 75 and over are significantly more likely to die than individuals with underlying conditions and 0 to 17 years old.
Below is the scatter plot correlations between cases and deaths in general in the United States.
Predictions for deaths in the U.S. are seen below:
Linear regression using cases as an independent variable and deaths as a dependent variable is seen below:

Please find better resolutions of all the visualizations: here.
Modeling Technique: Scatter plot, linear regression using Python.
Data Sources: https://github.com/nytimes/covid-19-data, https://www1.nyc.gov/site/doh/covid/covid-19-data.page
Last Updated: April 6th, 2020.
