Project README - NYPD Arrest Data Analysis

1. Project Title

Understanding Crime Dynamics in New York: A Deep Dive into NYPD's Arrest Data

2. Objective

Analyze crime trends across New York City's boroughs, offense types, and demographics to optimize police resources and community outreach.

3. Data Source

• Primary Source: NYPD's Arrest Data Year-to-Date
• Attributes Include:
  • Arrest Key, Date, Borough, Precinct
  • Police Department Code and Description
  • Offense Key, Description, Law Code, and Category
  • Perpetrator's Gender, Race, Age Group
  • Geographical Parameters (Latitude, Longitude)

4. Analytical Approach

• Classification: Categorizing offenses.
• Regression: Predicting future arrest patterns.

5. Methodology

Using the CRISP-DM model for structured, comprehensive data analysis.

6. Assumptions & Constraints

Assuming data accuracy and currency, with no significant external variables affecting the patterns.

7. Prior Work Referenced

Inspired by "Crime Analytics in Metropolitan Areas" (Smith & Co., 2019), focusing on NYPD data with contemporary techniques.

8. Potential Deviations

No deviations anticipated from the project guidelines.

Visualizations

Arrests Heatmap

View the Arrests Heatmap

• File: arrests_heatmap.html
• Description: This visualization provides a heatmap representation of arrest locations across New York City, offering insights into high-density arrest areas.

Top 10 Crime Areas

View the Top 10 Crime Areas Map

• File: top_10_crime_areas.html
• Description: This file presents a detailed overview of the top 10 areas with the highest crime rates, showcasing crucial data for targeted policing strategies.