What it does
The prelude to the interactive data visualization is an introduction to the carbon emissions problem with animated text. Data from database.worldbank is cross referenced with country names using the Google Maps API for latitude and longitude coordinate to create the unqiue database I use here. Mapped across 1990 to 2005 in five year intervals, a line intersects the coordinate at the country location, with the length depicting the magnitude of the country's carbon emissions that year per capita. The visualization is animated across years and is interactive.
How I built it
Challenges I ran into
Building the actual data visualization was difficult because of the lack of resources on specifically plotting points of a spherical geometric figure. A lot of my successes were the result of trial and error. Finding a database to plot my data from was also difficult so I resulted in creating my own. I also really struggled when I received a cors error on local images and I didn't know how to resolve it for a long time but I was finally able to by setting up a local server with python.
Accomplishments that I'm proud of
I'm proud of the amount of was able to achieve for one person and for learning a new skill. I'm also quite proud of how I animated the text in the introduction to resemble air.
What I learned
I learned three.js! (And by extension, WebGL :) )
What's next for "hey is the earth ok?"
I'd like to create more datasets and possibly map emissions to animate on the visualization automatically. It would also be cool to look into adding other greenhouse gases such as methane. If I had more time, I would also like to add a feature on being able to petition/contact your government representative about the issue.