For my final data visualization project, I chose to work with 2018 data of meat consumption for four types of meat: beef, sheep, pig, and poultry.
I decided to work with this dataset because interestingly, the data was per capita, which would help find the truth apart from high rates attributed to large countries.
In my visualization, the data is represented as as a map that contains ellipses representing each country. The opacity of the ellipse is correlated to the amount of kilograms of the meat consumed per capita.
To interact with the visualization, try clicking the dropdown to see data for different types of meat and how the opacity changes.
One interesting thing I noticed during this project is that third-world countries had barely and consumption per capita, and this was not relative to other countries.
Something I still wonder about is low consumption of certain meats could be tied to the major religions of certain countries.
The most challenging moment of this project was making the dropdown work without fumbling up the code.
If I had more time, I would like to make the code work for different years, as well.
My proudest moment during this project was when I finally completed the code, and it all worked.