Inspiration
Recent Cancer research, general interest in forecasting trends
What it does
Cancer trend forecasting and visualization
How we built it
Data analysis in python and minitab to forecast future trends, stored large dataset in firebase and presented data in interactive web application displaying past cancer statistics to allow researchers and professionals to visualize how cancer has changed over time in the us
Challenges we ran into
New languages, new analytical methods, storing and retrieving large amounts of data, forecasting with limited information
Accomplishments that we're proud of
Learned new technology and analytical methods
What we learned
how to intuitively present data to non technical users
What's next for CancerMap
More data means better predictions in the hands of our consumers
Built With
- data
- firebase
- git
- github
- google-maps
- html5
- javascript
- keegan
- kirkferentz
- luka
- minitab
- python
- react
- redbull
- utsab
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