For my final data visualization project, I chose to work with a dataset called Climate Disasters Around the World.
I decided to work with this dataset because I think climate change is a big problem and being able to see that is really important.
My visualization represents the data as coloured, translucent circles above each country. The number of disasters is represented by the size of the circle and the type of disaster by the colour.
To interact with the visualization, try hovering over circles to see the name of the country and the exact number of disasters since 1980. There are buttons on the top of the screen that allow you to pick what type of disaster you want to see, they also serve as a colour key.
One interesting thing I noticed during this project is the United States have a huge difference in the number of disasters than neighbouring countries and the world. China and the Philippines also have this pattern. My conclusion is that these countries are more advanced and thus can do a better job of keeping track of disasters.
Something I still wonder about is why Russia has had so few disasters since 1980. Is this because of their high latitude and advances in carbon-neutral technologies? Were they holding back information from the people who made this data set?
The most challenging moment of this project was cleaning the data and transferring it to p5, this was really difficult because I had to compile all the data points into one sheet but still make it easily recognizable by the code.
If I had more time, I would like to add a way to select what year or years you want to see in the visualization.
My proudest moment during this project was when I added the buttons that allow the viewer to pick what category of disaster they want to see data for.