{"id":23084680,"url":"https://github.com/sarathchandranpm/vehicle_theft_analysis","last_synced_at":"2025-08-02T12:36:43.227Z","repository":{"id":266855115,"uuid":"899563119","full_name":"SarathchandranPM/vehicle_theft_analysis","owner":"SarathchandranPM","description":"This project is a comprehensive data analysis of vehicle theft patterns, utilizing advanced SQL techniques to explore when, which, and where vehicles are most likely to be stolen. 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The analysis provides deep insights into vehicle theft characteristics through systematic, multi-dimensional exploration.\n\n### Project Strengths\n- Detailed temporal analysis\n- Vehicle type and characteristic investigation\n- Geospatial theft pattern exploration\n- Advanced SQL querying techniques\n- Comprehensive data exploration\n\n### File-by-File Analysis\n\n#### 1. `obj1_period_wise_analysis.sql`\nFocuses on temporal patterns of vehicle theft:\n\nKey Analytical Approaches:\n- Year-wise vehicle theft count\n- Monthly theft distribution\n- Day of the week theft analysis\n- Uses date and time functions:\n  - `year()`\n  - `month()`\n  - `dayofweek()`\n- Includes case statements for day name conversion\n\nInsights Generated:\n- Temporal trends in vehicle theft\n- Most vulnerable periods for vehicle theft\n\n#### 2. `obj2_type_wise_analysis.sql`\nExplores vehicle characteristics and theft vulnerabilities:\n\nKey Analytical Techniques:\n- Vehicle type frequency analysis\n- Average vehicle age at theft\n- Luxury vs. standard vehicle theft percentages\n- Advanced JOIN and aggregation techniques\n- Pivot table creation for color and vehicle type analysis\n\nComplex Query Highlights:\n- Subqueries for percentage calculations\n- Case statement transformations\n- Detailed color and vehicle type mapping\n\nInsights Generated:\n- Most stolen vehicle types\n- Luxury vehicle theft propensity\n- Color-based theft patterns\n\n#### 3. `obj3_region_wise_analysis.sql`\nInvestigates geographical aspects of vehicle theft:\n\nKey Analysis:\n- Regional vehicle theft counts\n- Population and density correlation with theft\n- Location-based JOIN techniques\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarathchandranpm%2Fvehicle_theft_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsarathchandranpm%2Fvehicle_theft_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarathchandranpm%2Fvehicle_theft_analysis/lists"}