Yaaminy/Egypt-Agriculture-Analysis

“Power BI dashboards and PowerPoint presentations for analytics projects” # Egypt Agricultural Indicators Analysis Dashboard (2000-2024) > **Interactive Dashboard Preview:** Here are the key screens from the Egypt Agricultural Indicators analysis. --- ### 🔗 Detailed Insights (Page 1 - 4): | | | |:---:|:---:| | | | | | | | | | | | | ### 📊 Project Overview This project delivers a comprehensive, data-driven analysis of Egypt's agricultural sector. Using **FAO datasets**, we monitored production trends, resource efficiency, and environmental impacts to provide actionable insights for sustainable development. ### 🛠️ Data Engineering & Model Optimization (Key Highlight) * **Big Data Management:** Handled massive multi-year datasets by implementing advanced **Data Append** operations in Power Query. * **Performance Tuning:** Consolidated multiple similar source files into streamlined tables, significantly reducing the Data Model size and enhancing dashboard responsiveness. * **Data Cleaning:** Transformed raw CSV files into a structured Star Schema for accurate multi-dimensional analysis. ### 📈 Key Metrics & Analysis * **Production Analysis:** Tracking *Production Per Capita (kg)* and *Average Yield* to assess food security trends. * **Resource Management:** Monitoring *Actually Irrigated Area (ha)* and its utilization percentage relative to equipped land. * **Environmental Footprint:** Analyzing *CO2 Emissions* alongside climate variables like *Average Temperature* and *Rainfall*. * **Statistical Modeling:** Implementation of **Linear Regression (DAX)** to determine the correlation between *Fertilizer Use* and *Total Production*. ### 📁 Repository Structure * **`agri_dashboard_final.pbix.zip`**: Optimized Power BI report with advanced DAX measures. * **`agricultural_analysis_presentation.pptx`**: Professional presentation summarizing the key insights. * **`Datasets/`**: Raw CSV files used for the analysis (Population, Land, Emissions, etc.). ### 🚀 Technical Skills Applied * **Power BI & Power Query:** Data Transformati …