Property Analysis

... You can download the dataset from https://www.kaggle.com/datasets/annsk7/zameen-com-islamabad-property-dataset-2024/data

It provides a comprehensive view of the Islamabad property market, allowing for insights into pricing trends, property distributions, and market dynamics.

Pros

Libraries and Tools:

• Python
• Selenium WebDriver
• BeautifulSoup
• PostgreSQL
• psycopg2
• CSV module
• Pandas

Methods Used:

• Web Scraping
• Data Cleaning and Normalization
• Database Management
• SQL Querying and Analysis

Walkthrough

1. Web Scraping:

Use Selenium to navigate Zameen.com and extract property data Handle dynamic content loading and pagination

2. Data Processing:

Clean and structure the scraped data Normalize units (e.g., convert all prices to millions)

3. Database Integration:

Set up PostgreSQL database Create tables and insert cleaned data

4. Data Analysis:

Perform SQL queries for insights Calculate statistics (averages, distributions, etc.)

5. Visualization and Reporting:

Create charts or graphs to represent findings Generate a report summarizing key insights