Covid Data Visualizer

Visualization

Inspiration

We were inspired by the millions of families that struggled through this horrific pandemic. We decided that there needs to be a way for people to be able to see which states are being hurt the most and when that happened. With our app, we know that many people will benefit by being able to see the calamities surrounding them.

What it does

This project displays a maneuverable map of the USA where users can zoom in to specific locations, move around the map, and see trends in data. Trends in data are seen by the gradient of yellow to red, with yellow being low, and red being high. Users have the choice to sort by deaths, hospitalization, and positive cases.

How we built it

We used data from 1/13/2020 - 3/7/2021 that is located in a CSV file. We first analyzed it and performed mathematical operations on it to determine what shade of red/yellow it should be. After that, we used matplotlib to display a map of the USA and color-code it accordingly.

Challenges we ran into

We had trouble using this library to display the map properly. It constantly was missing a key feature, whether it be borders, colors, or proper shapes. Another problem we ran into was being able to parse the CSV file and use it for the map. The CSV used abbreviations for state names, but matplotlib used full names.

Accomplishments that we're proud of

As mentioned before, the naming of the states was different across our 2 sources. We made a dictionary that converted all the names so that all data was consistent. We are extremely proud of finding these innovative solutions to our hardships. One of our biggest accomplishments is making this application simple and smoothly running.