For this assignment, I will generate visualizations based on monthly modal time series data from Data.gov.
In the visualizations, I decided to use the following 6 variables:
Primary USA City, Year, Vehicle Revenue Miles, Vehicle Revenue Hours, Ridership, Collisions with Motor Vehicle, and Collisions with Person
Thinking about how to best visualize this data, the first thing I wanted to see was the overall rate of collisions over the years recorded.
To do this, I went with a bubble chart and as you can see, 2019 had the lowest rate of collisions compared to the others.
Legend for reference:
While this is interesting, I wanted to further compare collisions across select US major cities and came up with the following:
Legend for reference:
The top line chart represents collisions with motor vehicles while the bottom chart shows collisions with people. Immediately, we can see that New York City experiences the highest number of collisions but it is interesting to see how it trends downward very quickly in the course of a year between 2018 and 2019. Further, the other cities trended downward as well but look steady compared to New York City.
See the visualizations up close here:
~ Katie
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