The model is aimed at predicting house prices across states in Nigeria
# Nigerian House Pricing Dataset & Visualization
A comprehensive dataset and analysis toolkit for exploring probabilistic distributions within the Nigerian real estate market.
## 📊 Dataset Overview
This dataset contains **5,500+ records** of Nigerian house listings with realistic pricing based on 2024-2025 market data. The dataset is designed for statistical analysis, machine learning, and probabilistic distribution studies.
### 🏘️ Dataset Features
- **5,500 records** across 10 major Nigerian cities
- **10 property types** from studios to luxury duplexes
- **4 neighborhood tiers** (Prime, Mid-Tier, Emerging, Budget)
- **18 features** including pricing, amenities, and market metrics
### 📁 Files Included
- `nigerian_house_prices.csv` - Main dataset (596KB)
- `nigerian_house_prices.ipynb` - Complete Jupyter notebook for analysis
- `nigerian_house_prices.py` - Dataset generation script
- `requirements.txt` - Python dependencies
- `README.md` - This documentation file
## 🏙️ Cities Covered
| City | Price Range (Millions ₦) | Average Price (Millions ₦) |
|------|-------------------------|---------------------------|
| Lagos | ₦5M - ₦472M | ₦51.98M |
| Abuja | ₦3M - ₦420M | ₦40.82M |
| Port Harcourt | ₦2M - ₦250M | ₦30.73M |
| Ibadan | ₦2M - ₦180M | ₦19.21M |
| Kano | ₦1M - ₦200M | ₦18.30M |
| Enugu | ₦1M - ₦180M | ₦16.84M |
| Benin City | ₦1M - ₦150M | ₦14.56M |
| Jos | ₦1M - ₦120M | ₦10.50M |
| Aba | ₦1M - ₦100M | ₦12.18M |
| Ilorin | ₦1M - ₦80M | ₦8.38M |
## 🏠 Property Types
1. **Studio Apartment** (25-45 sqm)
2. **1-Bedroom Apartment** (45-70 sqm)
3. **2-Bedroom Apartment** (70-100 sqm)
4. **3-Bedroom Apartment** (100-150 sqm)
5. **4-Bedroom Apartment** (150-220 sqm)
6. **Detached House** (120-300 sqm)
7. **Semi-Detached House** (120-300 sqm)
8. **Duplex** (120-300 sqm)
9. **Terraced House** (120-300 sqm)
10. **Bungalow** (80-140 sqm)
## 📊 Dataset Schema
| Column | Type | Description |
|--------|------|- …