This project focuses on analyzing real estate trends using data sourced from realestate.com.au, a leading real estate website in Australia. The dataset includes detailed information on property listings, such as prices, surface areas, and locations, offering valuable insights into the Australian real estate market.
- Price Analysis: Investigate how property prices are influenced by surface area across various Australian cities.
- Market Insights: Identify cities and suburbs with the highest average property prices and examine luxury market trends.
- Listing Analysis: Assess the proportion of property ads posted by businesses compared to private individuals.
- Data Collection: Extracted property data from realestate.com.au, including pricing, location, and property characteristics.
- Data Cleaning: Processed and cleaned the dataset to ensure accuracy and consistency.
- Exploratory Data Analysis (EDA): Performed EDA to reveal patterns and trends in the real estate data.
- Correlation Analysis: Analyzed the relationship between property surface area and prices using statistical methods.
- Luxury Market Analysis: Identified key suburbs and cities with high-value properties, focusing on areas with premium pricing.
- Programming Languages: SQL, Python
- Libraries & Tools: Pandas, NumPy, Matplotlib, Seaborn, Selenium
- Data Source: realestate.com.au
- Pricing Trends: Found that larger property surface areas generally correlate with higher prices. Identified cities and suburbs with the highest average property prices.
- Business vs. Private Listings: Noted a significant number of listings are posted by businesses rather than private individuals.
- Luxury Market: Highlighted top suburbs and cities known for high-value properties, providing insights into the premium real estate market.
This project offers a comprehensive analysis of the Australian real estate market, revealing key trends in property pricing and the impact of property size on prices. It also provides insights into the distribution of business versus private listings and highlights areas with high-value properties, benefiting prospective buyers and investors.