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crime-data

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This project analyzes hate crimes reported in the NYPD using data from a Kaggle dataset. It explores temporal and spatial patterns, offense types, bias motivations, and arrest trends. The analysis involves data cleaning, preprocessing, and visualization to reveal insights into crime trends and geographical concentrations.

  • Updated Apr 13, 2024
  • Jupyter Notebook
Baltimore-Crime-Trends-Visualization

A Tableau data story consisting of a series of visualizations analyzing Baltimore City crime trends with the goal of providing valuable and actionable insights to Baltimore PD to promote safer neighborhoods.

  • Updated Dec 24, 2019

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