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Enhancing Park Safety Through Data-Driven Analysis in NYC Parks πŸŒ³πŸ”


Introduction

This project leverages data analytics and visualization to analyze crime patterns in New York City parks from 2015 to 2023. By utilizing Python for data preparation and Tableau for dynamic visualization, the study aims to uncover actionable insights into crime trends, the correlation between park size and crime rates, and the effectiveness of safety measures. The findings will inform strategies to enhance park safety and community well-being.


Objective

To analyze NYC park crime data to identify patterns, evaluate safety measures, and explore the relationship between park size and crime incidents. The ultimate goal is to provide actionable recommendations for improving park safety.


SMART Questions

  1. Which NYC park had the highest overall crime rate in 2023?
  2. What are the trends in total crimes reported across boroughs from 2015 to 2023?
  3. How does park size correlate with the total number of crimes in 2023?
  4. What proportion of total crimes were rapes in Q4 2023 compared to the previous year?
  5. Which NYC park recorded the lowest crime rates between 2015 and 2023?

Dataset

  • Source: NYC Park Crime Data (2015-2023)
  • Features:
    • Types of crimes (e.g., murder, robbery, felony assault)
    • Park attributes (e.g., name, size, borough)
    • Incident counts by year and quarter
  • Link: NYC Park Crime Dataset

Key Findings/Conclusion

  1. Crime Trends:

    • Manhattan has the highest crime rate per acre, while Brooklyn records the highest total incidents.
    • Crime rates peak in Q3 annually, with significant reductions in Q1.
  2. Park-Specific Insights:

    • Smaller parks have a higher crime rate per acre compared to larger ones.
    • Some parks, like Washington Square Park, report consistently high crime rates.
  3. Borough Comparisons:

    • Crime trends vary significantly across boroughs, influenced by local factors and policies.
    • Staten Island consistently records the lowest crime incidents.
  4. Visualization Impact:

    • Heatmaps, bar charts, and interactive dashboards effectively highlight crime trends, enabling data-driven decision-making.
  5. Recommendations:

    • Focus on high-crime parks for targeted safety interventions.
    • Leverage seasonal crime patterns to optimize resource allocation during peak periods.

About

Data-driven analysis of NYC park crimes to enhance safety through actionable insights πŸŒ³πŸ”.

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