A temperature visualization collected from a Particle Sensor.
Data Source: Particle Temperature Sensor
With the notorious New York City heating regulations, finding the perfect temperature in one’s apartment during the winter can be a difficult task. I began a wasteful habit of running my air conditioner (AC) to cool my unit as I could not adjust the heat. This visualization records the average hourly temperature of my apartment over the course of a month, and highlights when the AC was running. The nuances in the AC data showcases key findings about this wasteful habit. The data was collected from a Particle Temperature Sensor and was written to a PostgreSQL database. This project is no longer live hosted on EC2, however further documentation can be found on GitHub.