Using Data To Find NYC’s Crankiest Neighborhood

for Data Viz & Info Aesthetics

An interactive web app designed and developed during the Fall 2018 semester class of Data Visualization and Information Aesthetics taught by Professor Christian Swinehart. The assignment asked students to utilize NYC’s 311 complaint line open data portal API.

The project allows users to explore the city by zipcode, generating a stacked bar chart breaking down how many noise complaints of each category were registered for that neighborhood by year. The app also generates a tone driven by the data, giving each zipcode its own unique sound.

The project utilized P5.js to generated the tones, stacked bar chart and MapBox.js was used to render the map of the city and overlay the selectable zipcodes.