NYC Noise Analysis across Boroughs and Holidays
This project aims to track disruptions to New York City's soundscape using historical 311 complaint data. By focusing on noise infringements and drilling down by factors like borough, seasonal events, and weekday vs weekend trends over multiple years this pinpoints when and where auditory disruptions most afflict locals. Through aggregations, visualizations, and Pandas-powered post-processing, it explores different dimensions of the problem space. Beyond applying data science to urban livability tracking, this endeavor provided methodologies to empower more informed municipal policymaking.
This project aims to track disruptions to New York City's soundscape using historical 311 complaint data. By focusing on noise infringements and drilling down by factors like borough, seasonal events, and weekday vs weekend trends over multiple years this pinpoints when and where auditory disruptions most afflict locals. Through aggregations, visualizations, and Pandas-powered post-processing, it explores different dimensions of the problem space. Beyond applying data science to urban livability tracking, this endeavor provided methodologies to empower more informed municipal policymaking.
This project aims to track disruptions to New York City's soundscape using historical 311 complaint data. By focusing on noise infringements and drilling down by factors like borough, seasonal events, and weekday vs weekend trends over multiple years this pinpoints when and where auditory disruptions most afflict locals. Through aggregations, visualizations, and Pandas-powered post-processing, it explores different dimensions of the problem space. Beyond applying data science to urban livability tracking, this endeavor provided methodologies to empower more informed municipal policymaking.
Data Analytics
Visualizing findings
The 311 complaint data is obtained from the NYC Open Data portal as a CSV. It is preprocessed to focus on noise complaints and relevant metadata like borough, date, complaint type etc.
Key data fields:
* Complaint Type - category of complaint (filtered to noise)
* Borough - NYC borough
* Created Date - date complaint was filed
* Descriptor - short complaint reason description
Key findings:
- Manhattan has the highest overall noise complaints
- Weekends have fewer noise issues than weekdays
- Thanksgiving generates most complaints relative to other US holidays
