A data exploration project focusing on the Polish real estate market, aiming to analyze property pricing trends, location impacts, and housing market dynamics using data from Otodom.
- Python (Pandas, NumPy) for data processing.
- Jupyter Notebooks for interactive exploratory data analysis (EDA).
- Data visualization libraries (Seaborn / Plotly).
- Implement robust data cleaning pipelines for real estate listings.
- Conduct exploratory data analysis to discover correlations between square footage, location, and price per meter.
- Future goal: Build a geographic heatmap of property price distributions.