πŸ—ΊοΈ Chicago GIS Analytics

Geographical Information System for Chicago Data Analysis

Interactive Map Visualization

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Crime Data

TypeDistrictSeverityDate
Theft1medium2024-06-20
Burglary1high2024-06-21
Assault2high2024-06-22
Vandalism1low2024-06-23
Drug Offense2medium2024-06-24
Robbery3high2024-06-25
Vehicle Theft1medium2024-06-26
Assault2high2024-06-27

Trend Analysis

πŸ” Key Insights

  • β€’ District 1 has the highest crime concentration
  • β€’ ZIP code 60603 has the highest median income
  • β€’ Red Line shows highest ridership numbers
  • β€’ Property values correlate with income levels

⚠️ Recommendations

  • β€’ Increase police patrol in high-crime areas
  • β€’ Improve transportation in underserved areas
  • β€’ Focus economic development in low-income zones
  • β€’ Monitor property value trends for gentrification

πŸ“ˆ Positive Trends

  • β€’ Crime severity levels showing improvement
  • β€’ Public transportation usage increasing
  • β€’ Property development creating jobs
  • β€’ Educational attainment rates rising