COVID-19 Public Health Data Visualization

Inspiration

Both our teammates are from New York, where covid hit the hardest. So we have experienced firsthand what these graphs mean and represent.

What it does

These graphs clearly model the lack of ventilators and disparities in how covid affects each age group.

How we built it

We used the CDC public covid dataset and their software.

Challenges we ran into

We ran into the issue of not being able to filter out the specific subgroups that we wanted to work with, but we worked it out.

Accomplishments that we're proud of

We're proud of being able to create clear graphs with multiple variables that show a story of the pandemic through spikes.

What we learned

We learned how to navigate the CDC datasets and how to use their software.

What's next for COVID-19 Public Health Data Visualization

We can continue to study this dataset and visualizing with different variables to find more nuances.

Built With

• cdc-open-data