For my final data visualization project, I chose to work with a data set that contains over 40 of the most commonly grown across the world and their respective environmental impacts including water usage, land usage, and carbon footprints.
I wanted to create a visualization that would allow users to see the impact each food item has on the environment is a visual learning way.
In my visualization, the data is represented by the size of the dots and the color of the dots. The color shows the amount of eutrophying emissions per kilogram, (0-6=red, 7-11=orange, 12-100=green, 101-200=blue, 201-366=purple). The bigger the dot, the more land use change. (LUC)
To interact with the visualization hover over each of the dots to see the item.
One interesting thing I noticed during this project is that most products that were obtained from cows, like cheese and beef, had a bigger land use change and a larger amount of eutrophying emissions per kilogram.
Something I still wonder about is how products with such a small land use change can produce higher emissions than other products with significantly larger land use changes.