Greenhouse Gas Data Analysis (USA)

Inspiration

Being interested in environmental science and wanting to focus on the business track

What it does

Analyzes trends and correlations with direct emissions over 2011 to 2020

How we built it

With Python and Jupyter Notebook

Challenges we ran into

Some challenges that we ran into were first being about to do data cleanup, creating readable and helpful infographics, and making our codes to actually run.

Accomplishments that we're proud of

Creating the infographics we wanted and finding conclusions based on it.

What we learned

Coding is definitely a trial and error process, and a two day process is too short especially with a huge set of data.

What's next for Greenhouse Gas Data Analysis (USA)

Another Hackathon in the future with the hopes that our skills will be better toned with it next time.

Built With

• jupyternotebook
• python