Noisy Neighbors and Traffic Trouble

NYC Open Data is a vast trove of City government datasets that have been made available to the public. One such dataset, <a href="https://data.cityofnewyork.us/Social-Services/311-Service-Requests-from-2010-to-Present/erm2-nwe9" rel="noopener ugc nofollow" target="_blank">311 Service Requests from 2010 to Present</a>, will be the focus of this article. This 311 data is updated daily and contains information about more than 24 million service requests made since 2010. For those who aren’t familiar, 311 is a phone number used in the U.S. that allows callers to access non-emergency municipal services, report problems to government agencies, and request information. This article discusses my process for exploring trends in a recent subset of the data (June-Nov. 2020), and for building a neural network to classify the government agency that responded to a given call. The full code for this project is available on its <a href="https://github.com/AvonleaFisher/Analyzing-NYC-311-Service-Requests" rel="noopener ugc nofollow" target="_blank">GitHub repository</a>. <a href="https://towardsdatascience.com/analyzing-and-modelling-nyc-311-service-requests-eb6a9c9adc7c">Click Here</a>