Lami14/sa_data_analysis

Exploratory data analysis and interactive dashboard of South African socio-economic data (crime, unemployment, load-shedding). # 🇿🇦 South Africa Socio-Economic Insights Dashboard An interactive data analysis project exploring key socio-economic challenges in South Africa, including crime, unemployment, and load-shedding. This project transforms publicly available datasets into meaningful insights through data analysis and visualization. --- ## 📊 Project Overview South Africa faces complex socio-economic challenges. This project aims to: - Analyze crime trends across provinces - Explore unemployment patterns over time - Investigate load-shedding frequency and impact - Identify relationships between these variables The final output is an **interactive dashboard** built with Streamlit. --- ## 🚀 Features - 📈 Crime trends by province (interactive charts) - ⚡ Load-shedding analysis over time - 📉 Unemployment heatmaps - 🔍 Province-level filtering - 📊 Correlation analysis between datasets - 🌐 Interactive dashboard (Streamlit) --- ## 🛠 Tech Stack - **Python** - **Pandas** – Data cleaning & manipulation - **Seaborn & Matplotlib** – Static visualizations - **Plotly** – Interactive charts - **Streamlit** – Dashboard development - **Jupyter Notebook** – Data exploration --- ## 📂 Project Structure