Fondren 451

Inspiration

Data vis is really cool, and this project allowed us to explore that, whether it was for forecasting data or visualizing past data.

What it does

Our dashboard allows you to choose a day within a 45 day time period to see past wind trends (speed and direction) on that day, as well as see future wind predictions 72 hours out from today.

How we built it

We are dynamically extracting the data from the National Oceanic and Atmospheric Administration (noaa) National Data Buoy Center (ndbc) leveraging the urllib library in python 3 to combine it into a single csv that gets loaded into google drive for ingestion. We used a streamlit to make the dashboard and used MongoDB to store our data. We used serverless as well to serve as a backend for our project.

Challenges we ran into

Dependency issues! Those were the absolute worst. We just had to be persistent when it came to those errors, and it also helped to have the team help with troubleshooting.

Accomplishments that we're proud of

The data scraping from the web was a really big step for us, especially since there was a lot of data from a lot of stations.

What we learned

Teamwork can get you through a lot of issues! Never underestimate the benefit of having a second pair of eyes when you're working on something.

What's next for Fondren 451

We wanted to use AWS for part of our project, but could works around some if the issues we were facing with s3. We may want to go back to see if we can solve the issues we were facing with it.