For my final data visualization project, I chose to work with a dataset about each country's meat consumption around the world from 2018-2029. The source for this data set is OECD.
I decided to work with this dataset because I was curious about what meat is consumed around the world. I know that many countries have a dominant religion or something else that limits their consumption of all and/or some types of meat.
One interesting thing I noticed during this project is the relationship between the religion and economic state of the country and meat consumption. I have noticed how common it is for cultural and economic factors to influence dietary choices.
Something I still wonder about is how consumption varies across different regions in each country, as well as the correlation between natural disasters and changes in meat consumption patterns.
In my visualization, the data is represented as dots on a graph where the y-axis represents the type of meat, the x-axis represents the country, and the size represents the size of meat consumption.
To interact with the visualization, try pressing the space bar to move forward through time, pressing the left arrow to move back in time, and hovering over a data point to get the exact consumption in kilograms per capita.
The most challenging moment of this project was trying to figure out a way to include multiple datasets. In the end, I couldn't figure it out in time, however, if I had more time, I would like to finish completing my spicy version.
My proudest moment during this project was when I saw the final graph come together, and I was able to click through and see the change in consumption over the years.