For my final data visualization project, I chose to work with a dataset about different endangered languages
I decided to work with this dataset because I didn't know much about these languages, and in making this project I learned about what is considered endangered, the different classifications, (vulnerable, etc,) and also it was already very clean data and I didn't want to clean anything.
In my visualization, the data is represented as dots of different sizes. The dot sizes represent how many people speak that language. The location is the language's point of origin on the globe.
To interact with the visualization, try clicking the rectangle in the lower left corner to view different languages or hover over a dot to see how many people speak that language.
One interesting thing I noticed during this project is that languages clump in a lot of different places, especially around population centers. I also noticed that the most endangered ones were dialects of a more common language.
Something I still wonder about is why these languages have so few speakers. Is it a problem of youth not learning the language? Is it a problem that more mainstream languages are taking over and are more useful?Â
The most challenging moment of this project was figuring out the hitbox and the forty million if statements for the button.
If I had more time, I would like to make the hover text look nicer and add a slider instead of the button.
My proudest moment during this project was when I first made the bubbles different sizes and made the hover text work for all of them.