Bad Vibes in NY

I used 7 different datasets from the [Open Data of New York](https://opendata.cityofnewyork.us/) to create (in python) this visualization: * Points of Interest (Top layer in red) * Office of Emergency Management responses (Orange-ish) * Graffitis removal (Third "layer", spanning in green) * 311 service requests (Turquoise) * Motored vehicle collisions (Bright blue) * NYPD Complaints calls (Purple) * NYPD Arrests (Fuchsia) Each dataset was subdivided into sub-categories, and vertically arranged according to the number of events in this category. For instance, the first few layers (top to bottom) for the 311 service requests (turquoise layer) correspond to hot water issues, residential noise, illegal parking, street condition... and one on the bottom (hence less frequent) even matches complaints for illegal animals kept as pets ! As this model is far from meaningful, I'll probably soon try to create some animated visualizations mapping events from specific categories according to time of day for instance.