House Price Attributes an ETL and Data Warehouse Solution
Completion Date:
Project Overview
Housing prices were up and down throughout years and the Real Estate industry has remained unpredictable for investors, buyers, and sellers. Investors design and develop houses, buyers put requirements and sellers set prices. Identifying which housing market indicators are key to determining future price movement is vital. Of the many market indicators, there are Valuable house price determinant attributes that partially or fully affect the market price. This project aims to assess house price attributes from sold prices and finds pattern of house price trends on demand of the housing market.
Role:
Problem Statement
About 22% of U.S. homeowners determined their home value using an online estimator. However, over half of U.S. homeowners estimated their home’s value by looking into comparable properties. Building a historical data warehouse solution that could potentially assess the value of each house price attributes from sold prices could provide an insight to predict the market value of houses.
Executive Summary
Data Dictionary
Next Steps
Deployment
