For my final data visualization project, I chose to work with the natural disaster data around the world. The dataset covers floods, wildfires, landslides, storms and other natural disasters that I didn't cover in my visualization.
I decided to work with this dataset because it seems like an interesting topic that I was interesting in learning more about. Being able to turn this into a visualization made it easier for me to understand the data and put it in one place.
In my visualization, the natural disasters are represented as dots on a map. Different colors represent the different kinds of climate crises, which are shown on in the code.
To interact with the visualization, try hovering your mouse over one of the dots to see what country it is if you can't tell already. You can also zoom in and out, and move around the map.
One interesting thing I noticed during this project is that the southeast asia area has lots of floods due to the monsoons in the area.
Something I still wonder about is why so many countries don't have any natural disasters, especially the fact that there weren't any wildfires in USA. The dataset claims that there were 1 or none even in recent years, which is definitely incorrect.
The most challenging moment of this project was being able to let the circles overlap so that the viewer can always tell how many of all different types of natural disasters occured in a country
If I had more time, I would like to make an option where you can drag something and it would change the year. The reason I wasn't able to do this was because the amount of different years and data I would have to make would be tedious to accomplish.
My proudest moment during this project was when it finally started working. Once I fixed an issue, it was my first time being able to see how my code looked and I could tell my work paid off.