Spaces:
Sleeping
Sleeping
| ================================================================================ | |
| DATA PREPROCESSING REPORT | |
| Generated: 2025-12-13 05:37:32 | |
| ================================================================================ | |
| INPUT FILES: | |
| ----------- | |
| ✓ resourceoptimization23.csv → 30 districts loaded | |
| ✓ equipment_dataset.csv → 36 equipment types loaded | |
| OUTPUT FILES: | |
| ------------ | |
| ✓ districts_master.csv → 30 rows × 22 columns | |
| ✓ equipment_inventory.csv → 36 rows | |
| COMPUTED FEATURES: | |
| ----------------- | |
| ✓ 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: | |
| ------------ | |
| ✓ Missing values: Handled | |
| ✓ Duplicates: Removed (0 found) | |
| ✓ Data types: Validated | |
| ✓ Coordinates: All 30 districts mapped | |
| DISTRICT STATISTICS: | |
| ------------------- | |
| • Coastal districts: 8 | |
| • Inland districts: 22 | |
| • High vulnerability districts: 1 | |
| • Low infrastructure districts: 22 | |
| TOP 5 MOST VULNERABLE DISTRICTS: | |
| ------------------------------- | |
| 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: | |
| ------------------------- | |
| 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): | |
| ------------------------------------------ | |
| • Total shelters available: 814 | |
| • Total equipment items: 132682 | |
| • High priority equipment types: 19 | |
| NEXT STEPS: | |
| ---------- | |
| 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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