Minasdqq/Nigeria-Food-Prices-Portfolio

Portfolio projects analyzing Nigeria food prices (EDA, Viz, ML, Forecasting) # Nigeria Food Prices Portfolio One real-world dataset → 4 portfolio projects (EDA, Visualization, ML Prediction, Time Series Forecasting). All projects use the **World Food Programme (WFP) Nigeria Food Prices** dataset (2002–2026), covering staples like rice, beans, tomatoes, garri across states/markets. ## Why this portfolio? - Demonstrates end-to-end data science skills using Nigerian economic data. - Relevant to local issues (inflation, cost of living). - Shows progression: basic analysis → beautiful viz → predictive modeling → forecasting. ## Projects 1. **Exploratory Data Analysis (EDA)** Cleaning, patterns, insights on food price trends. 2. **Data Visualization & Inflation Dashboard** Charts, comparisons, seasonal heatmaps. 3. **Machine Learning Price Prediction** Regression models (Linear, Random Forest) to predict prices. 4. **Time Series Forecasting (Rice Focus)** Prophet & ARIMA for future price predictions. ## Dataset - Source: World Food Programme – Nigeria Food Prices - Download: Direct CSV (recommended) - Place in `/data/` folder locally (ignored by Git). - Notebooks can load directly: `pd.read_csv("...")` ## Setup ```bash pip install pandas numpy matplotlib seaborn scikit-learn prophet plotly openpyxl