For my final data visualization project, I chose to work with the San Francisco Plant Finder Dataset.
I decided to work with this dataset because I was curious about the types of plants in such a populated city.
In my visualization, the data is represented as a pie chart, with different sections corresponding to the occurrence of different types of plants. Each color of the text represents a colored section of the pie chart.
To interact with the visualization, try typing in one of these plant types:
treeE (the E stands for evergreen)
treeD (the D stands for deciduous)
perennial
shrubD
vine
shrubE
grass
annual
fern
succulent
palm
A description of each of these plants will appear, as well as it's population in San Francisco.
One interesting thing I noticed during this project is the relationship between the prevalence of evergreen plants and deciduous plants. For trees, they are about the same. For shrubs, there is a major difference - there are 7x the amount of evergreen shrubs than deciduous shrubs.
Something I still wonder about is how this pie chart would change when surveying other parts of the world. Would this be the same for a city like New York? What would change?
The most challenging moment of this project was when some of the pie chart sections vanished, and I had to determine how to bring them back.
If I had more time, I would like to add images of example plants to the chart. I would also add more buttons and opportunities for interactivity.
My proudest moment during this project was when I figured out how to precisely create the pie chart in radians.