Galapagos is a comparative viewer for simulator output.

What it does

Galapagos allows a user to view the 21 different hackathon-provided simulator output datasets. There are two modes in Galapagos, the first mode provides a bird's-eye-view of every dataset. The birds-eye-view shows the number infected, symptomatic, and vaccinated for each dataset, along with a heat map of the peak day of disease. The user can also create a summary time series, for example, comparing the incidence curves for multiple datasets.

The second mode provided by Galapagos is "single data set" view. In this mode, the user examines a single simulator output dataset. In this view, the user can make movies of disease spread, either in choropleth or heat map format. Additionally, the user can hover over any location and see statistics for the given location. And finally, the view provides the ability to query the dataset across many different stratifications, and make time series and movies for the selected stratification (e.g. "Show the spread of disease for female infants.").

How we built it

We built this from scratch over two days using HTML, and a Python data analysis library named pandas. Pandas enables a user to execute fast queries across many different stratifications on a dataset. The web application contacts a query server that we built which executes the pandas queries.

Challenges we ran into

Processing large amounts of data. It was fun to try, but we still couldn't get it as fast as we would like.

Accomplishments that we're proud of

An interesting summary view of of each dataset, and the cool heat map and choropleth movies showing the disease spread across Allegheny County.

What we learned

There are many additional ways we want to try to visualize this was a fun project to work on.

What's next for Galapagos

More detailed information included in charts and maps. Speed improvements.

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