We knew we had a math oriented team and knew we wanted to use differential equations to analyze some form of data. After thinking about different issues that impact humans on a global scale, we fell upon disease. At first, we were thinking of a world map denoting the intensity of a disease in certain areas, but we wanted something more interactive that helps the user understand how the epidemic spreads.

What it does

When the program is run, three different data visualization methods pop up: a graph, a progression pie chart, and a matrix which demonstrates the spread of the disease through segments of a population.

How we built it

We used Python and tkinter to make our graphs and animations. We came up with differential equations to map out the graph and progression of the disease.

Challenges we ran into

Our team only has extensive experience with Python, since we have taken limited computer science courses. Our original plan utilize different APIs and possibly Tensorflow were soon realized to be unrealistic. Thus, we focused more on the quantitative analysis and data visualization aspect of our idea.

Accomplishments that we're proud of

We were able to utilize our skills from limited computer science instruction to make something we had never even imagined making before.

What we learned

We learned that anything is possible if you collaborate with others and open yourself up to failure.

What's next for Disease Data Visualizer

We would like to increase our database to be able to model different diseases as well as allow the user to control the visualization to their liking.

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