NYC 311 Service Requests - Data Analysis

Introduction

This project analyzes NYC 311 service request data to understand patterns in service delivery, response times, and complaint types across different boroughs and time periods in New York City in 2024. The NYC 311 dataset contains service requests from 2010 to the present, including information about complaint types, borough locations, creation dates, closure dates, and response times.

Analysis & Visualizations

Complaint Type Analysis

• Top Complaint Types: Identification and visualization of the most common service requests
• Temporal Patterns by Type: How different complaint types vary across months, hours, and days
• Borough-Specific Analysis: Complaint type distribution and response times by borough

Statistical Analysis

• Borough Comparisons: Mean, median, and variability of response times across NYC boroughs
• Hypothesis Testing: Statistical tests comparing weekday vs weekend response times and differences across boroughs

Temporal Pattern Analysis

• Temporal Overview: Response time patterns across day of week, hour of day, and months
• Time Series Decomposition: Seasonal decomposition to identify trends, seasonality, and residuals
• Weekday vs Weekend: Comparison of response times on weekdays versus weekends

Quick Start

1. Install Dependencies

pip install -r requirements.txt

2. Run Analysis Pipeline

cd src
python analysis_pipeline.py