For my final data visualization project, I chose to work with a dataset about each country's meat consumption. This data is from the Organisation for Economic Co-operation and Development (OECD).
I decided to work with this dataset because I was interested in food and meat consumption.
In my visualization, the data is represented as emojis of the different meats consumed. The position of the emoji is on the latitude and longitude of the country it is representing. The size of the emoji corresponds to how many thousand-tons of carcass weight was consumed.
To interact with the visualization:
Move the slider on the top to select a specific year's data
Hover on the emojis to see which country they represent, and how much meat they consumed
One interesting thing I noticed during this project was how poultry was the predominant meat that was consumed. It made sense that there were more pig-emojis in Asia, because of how many dishes have pork.
Something I still wonder about is why some countries aren't accounted for in the data, like many in Africa. (They aren't listed in the dataset either.)
The most challenging moment of this project was sorting the data before importing it into my code. I had to use many Google Sheets functions to sort all the meat values and find the corresponding latitudes and longitudes for each country.
If I had more time, I would like to add a function where the user can click on one specific emoji, for example, the pig, and only the countries that consumed more pork than other meats would show up on the map.
My proudest moment during this project was when I coded the slider to select data from different years.