For my final data visualization project, I chose to work with a data set that talked about the number of cases in each country and the population of that country. I used google sheets to calculate the percent of the population instead, so all of the numbers are in the same unit.
I wanted to create a visualization that would allow users to explore depression data around the globe. I am curious about what countries might have more cases/percent of cases than others, and why this difference might present itself.
In my visualization, the data is represented as circles on the countries whose data I've used, the circles grow bigger as the percent of the population increases and vice versa.
To interact with the visualization, try dragging the slider to change the year you are viewing, clicking on the country to see a list of # of cases over the 30 years represented, and hovering over the circles to see the country name and percent of the population.
One interesting thing I noticed during this project is that all of the countries follow the same rough patterns of doing up and down, but some do this on a higher range of numbers (3.6-2.6 vs. 1.5-0.5)
Something I still wonder about is why these discrepancies occur. Is it due to better health care or more diagnoses in countries with more cases? Looks like some more research is needed :)