birdcoreone/water-access-africa

A multi-phase data analysis project on water access in Africa using SQL, Power BI, and Python. # 🌍 Water Access in Africa - Data Pipeline and Visualization Project This project is a comprehensive data pipeline and analysis initiative aimed at understanding and improving water access across African communities. It leverages **SQL for data cleaning and analysis**, **Power BI for visualization**, and **Python for advanced analytics (future phase)**. The project tracks water sources, population access, queue times, and infrastructure development progress. --- ## 📊 Project Phases This repository is divided into multiple phases, representing the full lifecycle of data-driven analysis: ### 1️⃣ SQL - Data Preparation & Analysis - **Schema design** for water access database - **Data cleaning and transformations** - **Analytical queries** to extract insights (e.g., population with basic access, pollution rates, queue times) 📂 Located in: `sql/` ### 2️⃣ Data Visualization (Power BI & DAX) - **Interactive dashboards** created in Power BI - Insights into water source quality, population served, and project progress - **Advanced DAX measures** for calculations like percentage of population with access, queue time impacts, and project cost tracking 📂 Located in: `data-viz/` ### 3️⃣ Python (Planned Phase) - Advanced **predictive modeling** (e.g., forecasting water shortages) - Exploratory Data Analysis (EDA) scripts - Automated reporting using Python libraries like Pandas and Matplotlib 📂 To be added in: `python/` --- ## 🗂️ Repository Structure ```text water-access-africa/ │ ├── sql/ # SQL Phase - Data Prep & Analysis │ ├── Data/ # Raw & Cleaned Datasets (local, excluded from GitHub) │ ├── Queries/ # SQL Scripts (schema, cleaning, analysis) │ ├── Results/ # Query outputs (optional, summary files) │ ├── README.md # Documentation for SQL phase │ ├── data-viz/ # Data Visualization Phase │ ├── Dashboards/ # Power BI .pbix …