For my final data visualization project, I chose to work with the data for the crude death rate (death rate per 1,000 people (per capita)) of individual countries--about 100--this year.
I wanted to create a visualization that would allow users to visualize a trend between each country, the death rate of those countries in an approximate graph, and their geographic location.
In my visualization, the data is represented as small rectangles organized by color relative to their geographic positioning. They are in a trend semi-line graph as well to see exact crude death rates.
To interact with the visualization, try to read the key and correlate it with the given colors on each rectangle to find out where the country is. Also, hover your mouse over each rectangle to see the color and which country it is, where you can then read on the graph in order to view its cdr.
Key for Visualization:
Gray: European Countries
Light Blue: Central Asian Countries
Black: African Countries
White: South Asian Countries
Red: North and South American Countries
One interesting thing I noticed during this project is how hitboxes vary because of shapes and making a plane/graph in p5.js is very interesting a complex. I also noticed simply that European countries by far had the highest death rate of any other continent or country specifically.
Something I still wonder about is how this data is recorded, how accurate it is, and if there was a global scale with every single country in the world, which would be the highest and why?