youssefelzahar/Real-estate-of-egypt

A comprehensive analysis and segmentation project for the Egyptian real estate market, leveraging machine learning techniques to uncover pricing patterns, property characteristics, and market segments. # Real Estate of Egypt - Property Analysis & Segmentation A comprehensive analysis and segmentation project for the Egyptian real estate market, leveraging machine learning techniques to uncover pricing patterns, property characteristics, and market segments. ## 📊 Project Overview This project analyzes Egyptian real estate data to identify key market trends, price distributions, and property segments. The analysis includes exploratory data analysis (EDA), feature engineering, and customer segmentation using clustering algorithms. ## 🔍 Key Visualizations ### Geographic Analysis **Insights:** El Katameya leads in average property prices among cities, while El Katameya Compounds dominates at the district level. --- ### Compound & Government Analysis **Insights:** Concord Plaza ranks highest among compounds, while Hay Shobra (Cairo) leads in governorate-level pricing. --- ### Price Distribution Analysis **Insights:** Significant price variations exist across governorates, with notable outliers in premium locations. --- ### Price-Size Relationships **Insights:** Strong positive correlation between property size and price, with clear city-based clustering patterns. --- ### Property Characteristics **Insights:** Most properties have 3 bedrooms and 3 bathrooms, representing the most common configuration in the market. --- ### Price by Property Features --- **Insights:** Property prices increase progressively with the number of bedrooms and bathrooms, showing exponential growth at higher counts. --- ### Average Price Analysis --- **Insights:** Properties with maid rooms command higher average prices across all bedroom counts, indicating a premium feature. --- ### Property Type Analysis **Insights:** Apartments dominate the market, while Palaces command the highest average prices. --- --- **Insights:** Property type distribution varies significantly across cities, with distinct pricing pat …