Global Renewable Energy

Live Example
Cover image for my project: Global Renewable Energy

About the Project

Renewables Energy Around the World is a project I completed as a member of the Michigan Data Science Team (MDST) at the University of Michigan. I worked on a team of four people, and we were all eager to learn and get our hands dirty with data visualization. We created many interactive visualizations and created an article in Observable as we explored and analyzed renewable energy trends throughout the world.

Technologies Used

We used D3.js to process our data and create the interactive visualizations. We also used JavaScript to handle most of the necessary logic. This was my first time working with D3.js, so it wasn't the smoothest experience. The final products all look amazing and the amount of control you get when making the visualizations is unparalleled, but it had me wondering whether all the wrangling and debugging was worth it when there are many solid plotting libraries out there that make things much easier.

Future Improvements

As a group, there were several things we wanted to add and improve on. For the global map, we wanted to make the hovered/selected country stand out by outlining its border or changing its color in addition to showing a tooltip. For the bar chart race, we figured there should be a play/pause button so that people can pause the race at certain years. Lastly, we wanted to compare different types of renewable energy (wind, solar, hydro) produced as well as how much each type costs to produce from country to country. Looking at the geographical, economic, and policy factors that affect renewable energy production would also be interesting.

Screenshots

Bar Chart Race showing the changes and trends of the top 10 renewable energy producing countries from 1965-2019