bakamelatrustworth-create/water-access-analysis-sa

Analysis of water access patterns and disparities across South Africa using data analysis and visualization techniques. # Water Access Analysis in South Africa ## Project Overview This project explores water access patterns and disparities across South Africa using data analysis, exploratory data analysis (EDA), predictive modeling, and visualization techniques. ## Objectives * Clean and prepare water access datasets * Perform exploratory data analysis (EDA) * Develop predictive models * Visualize key findings and trends * Support data-driven insights into water accessibility challenges ## Project Structure * `01_data_cleaning.ipynb` – Data cleaning and preprocessing * `02_eda.ipynb` – Exploratory data analysis and visualizations * `03_model.ipynb` – Predictive modeling and evaluation * `README.md` – Project documentation * `Screenshots/` – Visual outputs and dashboard screenshots ## Tools and Technologies * Python * Pandas * NumPy * Matplotlib * Scikit-learn * Jupyter Notebook ## Key Skills Demonstrated * Data Cleaning * Exploratory Data Analysis * Data Visualization * Machine Learning * Problem Solving ## Author **Trustworth Bakamela** Aspiring Data Analyst | Data Science NQF 5 Student LinkedIn: linkedin.com