Inspiration
We chose this prompt because it was more open-ended/challenging than the easy ones as well as the other medium rated prompt. This opened up the door for us to do anything we wanted like using secondary data sets.
What it does
An interactive map that shows the factors that play into the Flood Health Vulnerability Index of neighborhoods in San Francisco. It takes the data set of the flood vulnerability index and matches with the GEOIDs of the San Francisco Census dataset to scrape coordinates to be able to plot them on the map.
How we built it
We built with a Streamlit front end, and used pandas in Python to manipulate our data. We used Streamlit's built in mapping as well as pydeck to plot our zones on the map.
Challenges we ran into
Learning how to use Streamlit and pandas from scratch were the most difficult challenges, the next one was probably waiting in the Buns line.
Accomplishments that we're proud of
Being able to put something out that we're proud of making at our first hackathon.
What we learned
We should probably find a way to delegate work better, and we also learned which factors contribute more to the flood index than others.
What's next for San Francisco Flood Health Index Data Visualization Tool
Fleshing it out with a more powerful mapping system.
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