Project Overview
This project is about researching the impact of renewable energy, and how effective it is for lowering CO2 emissions. I look at two datasets, one on developing countries and their CO2 emissions, and one on global CO2 emissions and their types.
Features
- EDA
- Hypothesis testing
- Clustering
Challenges & Solutions
There were several challenges in this project. There was a lot of missing data, and some of the columns were formatted in a way that was unusable. The way that I dealt with that was just to preprocess the data, omitting the missing values for the first dataset, as they were unnecessary for the plots and hypothesis testing I was doing.
Another challenge was researching sustainable energy and understanding the data, structuring the project to be easily understandable. This took some time, but with some reading and research, I completed the job.
The final challenge was creating the choropleth map, which required formatting the dataset's country names to match Plotly's required format.
Live Demo & Source Code
View Live Project | Source Code
