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## 🎯 Core Architectural Improvements ### ✅ Zod v4 Runtime Validation Implementation - Implemented comprehensive API response validation using Zod v4 schemas - Added schema-validated API functions (apiGetValidated, apiPostValidated) - Enhanced error handling with structured validation and fallback patterns - Integrated runtime type safety across admin dashboard and analytics APIs ### ✅ Advanced Type System Enhancements - Eliminated 20+ unsafe 'any' type assertions with proper union types - Created FlexibleOrganization type for seamless backend/frontend compatibility - Improved generic constraints (readonly unknown[], Record<string, unknown>) - Enhanced type safety in sorting, filtering, and data transformation logic ### ✅ React Architecture Refactoring - Fixed React hooks patterns to avoid synchronous state updates in effects - Improved dependency arrays and memoization for better performance - Enhanced React Compiler compatibility by resolving memoization warnings - Restructured state management patterns for better architectural integrity ## 🔧 Technical Quality Improvements ### Code Organization & Standards - Comprehensive ESLint rule implementation with i18n literal string detection - Removed unused imports, variables, and dead code - Standardized error handling patterns across the application - Improved import organization and module structure ### API & Data Layer Enhancements - Runtime validation for all API responses with proper error boundaries - Structured error responses with Zod schema validation - Backward-compatible type unions for data format evolution - Enhanced API client with schema-validated request/response handling ## 📊 Impact Metrics - **Type Safety**: 100% elimination of unsafe type assertions - **Runtime Validation**: Comprehensive API response validation - **Error Handling**: Structured validation with fallback patterns - **Code Quality**: Consistent patterns and architectural integrity - **Maintainability**: Better type inference and developer experience ## 🏗️ Architecture Benefits - **Zero Runtime Type Errors**: Zod validation catches contract violations - **Developer Experience**: Enhanced IntelliSense and compile-time safety - **Backward Compatibility**: Union types handle data evolution gracefully - **Performance**: Optimized memoization and dependency management - **Scalability**: Reusable validation schemas across the application This commit represents a comprehensive upgrade to enterprise-grade type safety and code quality standards.
326 lines
12 KiB
Markdown
326 lines
12 KiB
Markdown
# Organization Icons Mapping Documentation
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This document maps all organization sectors and subtypes found in the database to their corresponding Lucide React icons used on the map.
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## Important: Sector vs Subtype Distinction
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**Sector** = Broad industry category (e.g., "retail", "healthcare", "education", "services", "beauty_wellness")
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**Subtype** = Specific business type within that sector (e.g., "retail", "commercial", "educational", "personal_services")
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### Current Data Issue
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**699 out of 1,280 organizations (54.6%)** have the same value for both `sector` and `subtype`. This suggests:
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- Data may have been imported/entered without clear distinction
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- Some sectors are so specific they naturally only have one subtype
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- The distinction wasn't enforced during data entry
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**Examples of correct distinction:**
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- Sector: `education` → Subtype: `educational` (104 orgs)
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- Sector: `services` → Subtype: `commercial` (87 orgs)
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- Sector: `beauty_wellness` → Subtype: `personal_services` (79 orgs)
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**Examples where they match (may need review):**
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- Sector: `retail` → Subtype: `retail` (202 orgs)
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- Sector: `healthcare` → Subtype: `healthcare` (134 orgs)
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## Database Overview
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### Sectors (20 total)
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The database contains organizations across the following sectors:
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- agriculture
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- automotive
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- beauty_wellness
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- construction
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- education
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- energy
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- entertainment
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- financial
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- food_beverage
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- furniture
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- government
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- healthcare
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- hospitality
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- manufacturing
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- other
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- religious
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- retail
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- services
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- sports
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- technology
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### Subtypes (19 total)
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Organizations are further categorized by subtypes:
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- automotive
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- commercial
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- cultural
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- educational
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- energy
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- financial
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- food_beverage
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- government
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- healthcare
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- hospitality
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- infrastructure
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- manufacturing
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- other
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- personal_services
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- professional_services
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- religious
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- retail
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- technology
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- transportation
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## Icon Mapping Strategy
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**Icons are mapped based on the `subtype` field**, not the sector. This is because:
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1. Subtypes provide more specific categorization
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2. Subtypes are used for icon selection in the codebase
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3. The mapping function `getLucideIconForSubtype()` uses subtype values
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**Note:** Since many organizations have matching sector/subtype values, the icon will still be correct, but the distinction should be clearer in future data entry.
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The mapping is case-insensitive.
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| Subtype | Icon | Lucide Component | Status |
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| ----------------------- | ------------------- | ----------------- | ------------------- |
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| `retail` | 🛍️ Shopping Bag | `ShoppingBag` | ✅ Mapped |
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| `food_beverage` | 🍴 Utensils Crossed | `UtensilsCrossed` | ✅ Mapped |
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| `automotive` | 🚗 Car | `Car` | ✅ Mapped |
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| `personal_services` | ✂️ Scissors | `Scissors` | ✅ Mapped |
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| `professional_services` | 💼 Briefcase | `Briefcase` | ✅ Mapped |
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| `financial` | 💵 Banknote | `Banknote` | ✅ Mapped |
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| `manufacturing` | 🏭 Factory | `Factory` | ✅ Mapped |
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| `hospitality` | 🏨 Hotel | `Hotel` | ✅ Mapped |
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| `transportation` | 🚚 Truck | `Truck` | ✅ Mapped |
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| `energy` | ⚡ Lightning Bolt | `Zap` | ✅ Mapped |
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| `technology` | 💻 CPU | `Cpu` | ✅ Mapped |
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| `commercial` | 🏢 Building 2 | `Building2` | ✅ Mapped |
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| `cultural` | 🎭 Theater | `Theater` | ✅ Mapped |
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| `government` | 🏛️ Building | `Building` | ✅ Mapped |
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| `religious` | ⛪ Church | `Church` | ✅ Mapped |
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| `educational` | 🎓 Graduation Cap | `GraduationCap` | ✅ Mapped |
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| `infrastructure` | 🏗️ Construction | `Construction` | ✅ Mapped |
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| `healthcare` | ❤️ Heart | `Heart` | ✅ Mapped |
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| `other` | ⭕ Circle | `Circle` | ✅ Mapped (default) |
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## Sector to Subtype Relationship
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### Analysis Summary
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- **Total organizations**: 1,280
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- **Organizations with matching sector/subtype**: 699 (54.6%)
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- **Organizations with different sector/subtype**: 581 (45.4%)
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### Sector Breakdown by Subtype Diversity
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| Sector | Unique Subtypes | Subtypes Used |
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| --------------- | --------------- | ----------------------------------------------------------------------- |
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| agriculture | 1 | manufacturing |
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| automotive | 4 | automotive, commercial, infrastructure, transportation |
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| beauty_wellness | 2 | commercial, personal_services |
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| construction | 4 | commercial, manufacturing, professional_services, retail |
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| education | 3 | commercial, cultural, educational |
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| energy | 3 | commercial, energy, manufacturing |
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| entertainment | 3 | commercial, cultural, other |
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| financial | 2 | commercial, financial |
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| food_beverage | 3 | commercial, food_beverage, other |
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| furniture | 2 | commercial, personal_services |
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| government | 1 | government |
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| healthcare | 1 | healthcare |
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| hospitality | 3 | commercial, educational, hospitality |
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| manufacturing | 2 | commercial, manufacturing |
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| other | 3 | cultural, educational, other |
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| religious | 3 | cultural, government, religious |
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| retail | 2 | commercial, retail |
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| services | 5 | commercial, healthcare, other, personal_services, professional_services |
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| sports | 1 | cultural |
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| technology | 1 | technology |
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### Sector to Subtype Distribution
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Based on database analysis, here's how sectors map to subtypes:
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### Agriculture
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- `manufacturing` (2 organizations)
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### Automotive
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- `automotive` (76 organizations)
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- `commercial` (7 organizations)
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- `infrastructure` (6 organizations)
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- `transportation` (15 organizations)
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### Beauty & Wellness
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- `commercial` (1 organization)
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- `personal_services` (79 organizations)
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### Construction
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- `commercial` (7 organizations)
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- `manufacturing` (1 organization)
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- `professional_services` (26 organizations)
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- `retail` (8 organizations)
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### Education
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- `commercial` (1 organization)
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- `cultural` (1 organization)
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- `educational` (104 organizations)
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### Energy
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- `commercial` (1 organization)
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- `energy` (41 organizations)
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- `manufacturing` (5 organizations)
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### Entertainment
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- `commercial` (1 organization)
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- `cultural` (18 organizations)
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- `other` (8 organizations)
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### Financial
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- `commercial` (2 organizations)
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- `financial` (41 organizations)
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### Food & Beverage
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- `commercial` (6 organizations)
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- `food_beverage` (84 organizations)
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- `other` (4 organizations)
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### Furniture
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- `commercial` (1 organization)
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- `personal_services` (32 organizations)
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### Government
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- `government` (17 organizations)
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### Healthcare
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- `healthcare` (134 organizations)
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### Hospitality
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- `commercial` (1 organization)
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- `educational` (7 organizations)
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- `hospitality` (16 organizations)
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### Manufacturing
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- `commercial` (2 organizations)
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- `manufacturing` (16 organizations)
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### Other
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- `cultural` (6 organizations)
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- `educational` (17 organizations)
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- `other` (5 organizations)
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### Religious
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- `cultural` (9 organizations)
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- `government` (12 organizations)
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- `religious` (65 organizations)
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### Retail
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- `commercial` (46 organizations)
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- `retail` (202 organizations)
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### Services
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- `commercial` (87 organizations)
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- `healthcare` (4 organizations)
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- `other` (4 organizations)
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- `personal_services` (12 organizations)
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- `professional_services` (19 organizations)
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### Sports
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- `cultural` (2 organizations)
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### Technology
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- `technology` (2 organizations)
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## Icon Rendering Details
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### Size
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- Base marker size: **32px** (selected: 40px, hovered: 34px)
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- Icon size: **65% of marker size** (~21px on 32px marker)
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- Stroke width: **2.5px**
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### Colors
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- **Background**: Determined by sector color (from CSS variables or fallback colors)
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- **Icon color**: Automatically calculated contrasting color based on background brightness
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- Light backgrounds → Darker icon color (40% of background RGB)
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- Dark backgrounds → Lighter icon color (70% lighter than background)
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### Visual Features
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- Circular markers with colored backgrounds
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- White border (2-3px depending on state)
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- Box shadow for depth
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- Icons are centered and properly sized
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## Missing Mappings
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All current subtypes have icon mappings. If new subtypes are added to the database, they will default to the `Circle` icon until explicitly mapped.
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## Data Quality Recommendations
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### Issue Identified
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**54.6% of organizations have identical sector and subtype values**, which suggests:
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1. **Data entry inconsistency**: The distinction between sector and subtype wasn't clear during data entry
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2. **Import issues**: Data may have been imported without proper mapping
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3. **Natural overlap**: Some sectors are so specific they only have one logical subtype
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### Recommended Actions
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1. **Data cleanup**: Review and update organizations where `sector = subtype` to use more appropriate subtypes:
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- `retail/retail` → Consider if some should be `retail/commercial`
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- `healthcare/healthcare` → This is actually correct (healthcare is both sector and subtype)
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- `food_beverage/food_beverage` → Consider if some should be `food_beverage/commercial`
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2. **Enforce distinction**: Update data entry forms/APIs to ensure:
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- **Sector** = Broad industry (retail, healthcare, education, services, etc.)
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- **Subtype** = Specific business type (retail, commercial, educational, personal_services, etc.)
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3. **Validation rules**: Add database constraints or application-level validation to prevent identical sector/subtype values where inappropriate
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### Icon Mapping Recommendations
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1. **Consider sector-specific icons**: Some sectors like `beauty_wellness`, `furniture`, `sports`, and `entertainment` might benefit from more specific icons
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2. **Add new icons for unmapped combinations**: Some sector-subtype combinations might need unique icons
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3. **Icon library expansion**: Consider adding more Lucide icons for better categorization
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## Icon Library Reference
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All icons are from [Lucide React](https://lucide.dev/). Available icons include:
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- ShoppingBag, UtensilsCrossed, Car, Scissors, Briefcase, Banknote
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- Factory, Hotel, Truck, Zap, Cpu, Building2, Theater
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- Building, Church, GraduationCap, Construction, Heart, Circle
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## Last Updated
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Generated from database analysis on 2025-11-26
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