For my final data visualization project, I chose to work with a dataset about the kilograms of four type of meat (beef, poulty, pork, & lamb) eaten per person in a few major countries around the world. This dataset is based on amount eaten in the current year, 2023.
I decided to work with this dataset because it interested me, being a unique topic I haven't really studied in depth before. I know that this project doesn't include every meat (and seafood), but it still seemed very fun for me to analyze.
In my visualization, the data is represented as dots on each country that is part of the data. The dots are sized corresponding to the amount of meat eaten per person in 2023.Â
To interact with the visualization, try hovering over the dots to see the exact amount of kg eaten and the name of each country. If the dots are green, this means they are set to a certain size because each person in that nation eats less than 7kg of meat per year. I have listed the amount that each country eats though, and the size of the dots don't apply to the green countries.
One interesting thing I noticed during this project is that certain countries in Asia (India, Indonesia, Thailand, Pakistan) and Africa (Egypt, Nigeria, and Ethiopia) eat less meat. Lots of South American countries tend to eat lots of meat, and so does Israel.
Something I still wonder about is what the data set would look like if the project included every country. How would it change and would there be significant differences?
The most challenging moment of this project was when I had to clean my data all over again, because I had made a mistake in uploading my data. I wrote down the names of each country but forgot to add up the sum of the four tyes of meat eaten, so I had to head back to Google Sheets before re-downloading it onto p5js.
If I had more time, I would like to add every country. I think that having all 190-ish (disputed amount) countries will be great for the most thorough project. I'd also like to account for seafood and other meats, which may be more common in countries.
My proudest moment during this project was when I was able to get the interactive part working. Hovering over the dots and seeing the names of each country is cool, but what made my project even better was the fact that it showed the exact value (in Kilograms) of the meat eaten per year.