Crime-Analysis-Chapel-Hill 🕵🏾‍♀️

GIS and R Project analyzing crime data in Chapel Hill, North Carolina, covering the years 2018 to 2020.

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About

This project explores spatial and temporal patterns of crime in Chapel Hill using GIS and R programming. It leverages police crime data from 2018, 2019, and 2020, combined with geospatial datasets to provide insights through maps, reports, and presentations.

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Contents

• Crime Data (CSV):

  • 2018_police_data.csv
  • 2019_police_data.csv
  • 2020_police_data.csv
  • weapon_data.csv
  • age_summary_by_gender.csv
  • age_summary_by_race.csv

• GIS Data (Shapefiles):

  • city.* (multiple shapefile components)
  • Old_Well_ArcGIS.* (multiple shapefile components)

• R Project Files:

  • Crime_Analysis_Chapel_Hill.Rproj
  • Crime_Analysis_Chapel_Hill_script.R

• Documentation:

  • Crime_Analysis_Report.docx
  • Crime_Analysis_Presentation.pptx

• Miscellaneous:

  • .gitignore

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Features

• Import and process crime datasets from 2018 to 2020
• Spatial analysis using shapefiles for Chapel Hill city boundaries and landmarks
• Visualizations of crime distribution by year, weapon used, and demographic factors
• Comprehensive report and presentation summarizing findings

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Usage

Open the R project file Crime_Analysis_Chapel_Hill.Rproj in RStudio to run the analysis script Crime_Analysis_Chapel_Hill_script.R. The script handles data cleaning, visualization, and spatial analysis steps.