Samhanzy/Nigerian-Economy-Dashboard

Visual dashboard and analysis of Nigeria’s economic indicators using Python, Dash, and Plotly # 🇳🇬 Nigerian Economic Dashboard This project explores Nigeria's key macroeconomic indicators from 2010 to 2023, using real-world data and Python analysis. It visualizes trends in inflation, exchange rates, GDP growth, unemployment, interest rates, and oil prices — helping uncover insights into how these variables interact and evolve over time. --- ## 📊 Features - 📈 Inflation trend analysis (2010–2023) - 💵 USD/NGN and GBP/NGN exchange rate tracking - 📉 GDP growth rates and recession detection - 👷‍♂️ Unemployment vs inflation comparison - 🔗 Correlation heatmap of economic indicators - 🧪 Clean, commented Jupyter Notebook ## 🖼️ Sample Screenshots --- ## 🧠 Key Insights - Major depreciation of the Naira post-2015 - 2016 & 2020 recessions clearly visible in GDP data - Rising unemployment correlates with inflation after 2018 - Oil price drops strongly linked to GDP slowdowns --- ## 🛠️ Tools Used - Python - Jupyter Notebook - pandas, seaborn, matplotlib - CSV data (manually compiled) --- ## 🗂️ Folder Structure nigerian-economy-dashboard/ │ ├── data/ │ ├── nigeria_macro_data.csv │ └── cleaned_macro_data.csv │ ├── notebooks/ │ └── analysis.ipynb │ ├── scripts/ ← Coming soon ├── dashboard/ ← Dash App (next) ├── screenshots/ ← Chart images └── README.md --- ## 🧪 How to Run 1. Open Jupyter Notebook 2. Navigate to `notebooks/analysis.ipynb` 3. Run each cell step-by-step 4. Requires: `pandas`, `matplotlib`, `seaborn` --- ## 💡 Future Plans - Interactive Dash App version - Add more historical data (before 2010) - Automate data updates (CBN/NBS APIs) --- > Built with ❤️ by [Oklogo Samuel] — feel free to fork, star, or suggest improvements!