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DATA PREPROCESSING REPORT
Generated: 2025-12-13 05:37:32
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INPUT FILES:
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✓ resourceoptimization23.csv → 30 districts loaded
✓ equipment_dataset.csv → 36 equipment types loaded

OUTPUT FILES:
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✓ districts_master.csv → 30 rows × 22 columns
✓ equipment_inventory.csv → 36 rows

COMPUTED FEATURES:
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✓ Latitude & Longitude (geographic coordinates)
✓ Infrastructure_Score (0-1 scale)
✓ Vulnerability_Index (0-1 scale)  
✓ Historical_Risk_Score (0-1 scale)
✓ Population_Exposure_Index (0-1 scale)
✓ Is_Coastal (binary flag)
✓ SDRF_Utilization_Rate

DATA QUALITY:
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✓ Missing values: Handled
✓ Duplicates: Removed (0 found)
✓ Data types: Validated
✓ Coordinates: All 30 districts mapped

DISTRICT STATISTICS:
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• Coastal districts: 8
• Inland districts: 22
• High vulnerability districts: 1
• Low infrastructure districts: 22

TOP 5 MOST VULNERABLE DISTRICTS:
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     District  Vulnerability_Index Flood_Zone
   Kendrapara                0.800 Flood Zone
       Ganjam                0.638 Flood Zone
     Balasore                0.625 Flood Zone
         Puri                0.600 Flood Zone
Jagatsinghpur                0.587 Flood Zone

TOP 5 BEST INFRASTRUCTURE:
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  District  Infrastructure_Score  Cyclone_Shelters
   Cuttack                 0.993                80
    Ganjam                 0.946               100
      Puri                 0.920                95
   Khordha                 0.898                75
Kendrapara                 0.879               110

RESOURCE CONSTRAINTS (from equipment data):
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• Total shelters available: 814
• Total equipment items: 132682
• High priority equipment types: 19

NEXT STEPS:
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1. Use districts_master.csv in your API
2. Update ResourceOptimizer to load this file
3. Run optimization endpoint: POST /optimize/resources
4. Verify risk scores and allocations

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