The full dataset is published on OpenDataSF. It contains 311 calls that were focused on tree maintenance and opened between January 1st, 2016 and January 1st, 2017. There are about 7500 observations and 16 variables. The variables in focus for this visualization are the status of the call (open or closed), district, address, geospatial coordinates and written details of the incident. The data used to draw the basemap as well as district boundaries is located here.
This visualization is both a chloropleth and a non-proportional symbol map. It first utilizes the chloropleth technique as its foundation where darker coloring indicates a greater amount of incidents occuring in that respective district. The color steps were chosen to maintain a proportional balance of colors on the map. Hovering over a district will also activate a tool-tip at the top left with info regarding that district. When clicking on a specific district, it will activate the non-proportional symbol map by displaying all open incidents that occured in the chosen district. Hovering over the points will also activate a tool-tip at the top left with info regarding the specific incident.
It is easy to notice the dense occurences in the center of San Francisco, which is evident from the darker coloring. In addition, there are a great amount of incidents that are left open and have been for a significant amount of time, with District 7 having the highest number of open incidents at 234. Using a combination of chloropleth and non-proportional symbol mapping, one can easily narrow down areas that are most effected and essentially prioritize open incidents in that district.
Lance Fernando is a junior majoring in Data Science with a concentration in computational analytics. When he is not diving deep into data, Lance enjoys playing music and cycling. After graduation, he hopes to get accepted into the Master of Science in Analytics program at USF to continue his studies in Data Science.