Real Estate Market Analysis 🏡

View Interactive Notebook on Google Colab

A comprehensive analysis of customer profiles, property characteristics, and country insights in the real estate market.

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Key Insights

1. Customer Age Profile

• Active Buyers: Most active in the 36–42 age group, with the highest property sales.
• Target Audience: Tailored marketing for 31–48 age group can enhance engagement.

2. Property Price Distribution

• Highest Demand: Properties priced between 200,000–285,000.
• Strategic Focus: Target mid-tier properties to maximize market capture.

3. Geographic Trends

• Leading State: California has the highest demand.
• Growth Markets: Nevada and Arizona are emerging markets.

4. Country Insights 🌍

• Top Countries: Canada and Germany exhibit perfect customer satisfaction.
• Expansion Strategy: Emulate their success for international growth.

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How to Use This Repository

Structure:

real-estate-analysis/
├── README.md
├── data/
│   ├── raw_data.csv
│   ├── cleaned_data.csv
├── notebooks/
│   ├── analysis.ipynb
├── results/
│   ├── customer_age_profile.png
│   ├── property_price_distribution.png
│   ├── state_distribution_map.png
│   ├── country_insights.png
├── scripts/
│   ├── data_cleaning.py
│   ├── visualization.py