Visualization-aided personalized exploration of the real estate data

An efficient analysis of the real estate data is critical for citizens to understand the real estate market and seek appropriate properties to live in or rent. In this paper, after collecting data from different channels and integrating a location-centred comprehensive real estate dataset, we develop HouseSeeker, a visualization-aided analysis system for home-buyers to explore the real estate data, find appropriate properties based on their individual requirements, and compare properties/suburbs from different aspects to discover the strengths and weaknesses of each property/suburb. We demonstrate the effectiveness of our system based on a real-world dataset in Melbourne metropolitan area: it is able to help zero-knowledge users better understand local real estate market and find preferred properties based on their individual requirements. A preliminary implementation of the system is available at http://115.146.89.158/