Group Members: Aishah Vakil, Marcus King, Julia Macray
Inspiration
Our inspiration behind this project was personal interest in climate change and environmentalism, but we decided to look into emissions from different fuel types to serve as a basis to move into a more renewable, energy efficient future.
What it does
Our project utilizes graphs and plots to answer our overarching research questions and then we analyzed the plots in the greater context of the datasets used.
How we built it
We built this using Python/Ed Workspaces, but it is runnable on VSCode.
Challenges we ran into
We ran into challenges while developing since our datasets were very large, but were able to bypass these challenges by testing on smaller ones. Other challenges were missing data, which was something we addressed in our writeup.
Accomplishments that we're proud of
We're proud that we had different types of visualizations and all of them are able to be interpreted with a little context!
What we learned
As summarized in the conclusion, we learned a lot about the relationship between emissions and fuel types as well as which regions of the world tend to emit/produce the most emissions/energy. We also learned that our project could only be as good as the datasets we used, which is something we took into account in our results.
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