For my final data visualization project, I chose to work with the "Environmental Impact of Food Production" data set. It is a google spreadsheet containing the 43 most common food produced globally, and its respective different types of emissions/other requirements throughout the production process.
I wanted to create a visualization that would allow users to understand the environmental impact the food they eat has, and to educate them so they can make new informed choices of what they will eat and how damaging some foods can be.
In my visualization, the data is represented as a table. It shows each food on the left, and the emissions (each is kilograms of CO2 (carbon dioxide, a greenhouse gas emission) equivalents per kg of the product/food).
To interact with the visualization, try reading any background text given on the tab. To switch tabs, press the right or left arrow key on your keyboard.
One interesting thing I noticed during this project is the magnitude of a gap between crops (vegetables, fruits, etc.) and meat/animal products. It's not just a little greater in every different type of emission, it can get up to ~10x the average crop amount.
Something I still wonder about is how the researchers and collectors of this data set obtained such specific data about every single crop, for many different emission types. Just find a way to measure some seems very difficult.