HSSASSA/Urban-development-Analytics-for-Morocco

# Urban Development Analytics - Morocco ## Project Overview This is a **production-grade, end-to-end data engineering and analysis project** designed to support strategic policy decisions for the Moroccan Ministry of Territorial Planning, Urbanization, Housing, and Urban Policy. ### Project Objectives 1. **Data Integration**: Consolidate urban development data from multiple sources 2. **Analytical Insights**: Uncover patterns in urbanization, housing, and infrastructure 3. **Predictive Intelligence**: Forecast future trends to support policy planning 4. **Actionable Recommendations**: Deliver data-driven insights for decision makers --- ## Key Features ### 🔧 **Data Engineering** - **ETL Pipeline**: Extract, Transform, Load with full data quality validation - **Data Warehouse**: SQLite database with optimized schema and indexes - **Quality Checks**: Automated validation for schema, nulls, duplicates, outliers - **Data Generation**: Realistic synthetic datasets for 5 Moroccan regions ### 📊 **Advanced Analytics** - **Comparative Analysis**: Regional and temporal comparisons using statistical tests - **Time Series Analysis**: Trend decomposition and seasonal pattern detection - **Predictive Modeling**: Linear regression, Random Forest, and scenario analysis - **Statistical Testing**: T-tests, correlation analysis, outlier detection ### 📈 **Visualization** - **Interactive Dashboard**: Plotly/Dash with real-time filtering - **Key Performance Indicators**: Population, density, infrastructure access, unemployment - **Geospatial Insights**: Regional performance comparisons ### ✅ **Quality Assurance** - **Unit Tests**: Comprehensive test coverage for all modules - **Data Validation**: Pandera schemas and Great Expectations - **Error Handling**: Robust logging and exception management --- ## Project Structure ``` urban-development-analytics/ ├── data/ │ ├── raw/ # Raw input data │ ├── processed/ # Cleaned, transformed data (CSV) …