People’s activities create 2.5 Quintilian bytes of data every day (Marr, 2018). The examples of activities include shopping, sleeping, property purchasing, selling or leasing, etc. A large amount of data is usually with high-dimensional geometry and multivariate characters. Traditional text-based data may be able to record the facts of activities, but the hidden story behind the data may not be discovered. Data visualisation is an instrument for reasoning about quantitative information and allows us to analyse data behaviours by understanding data patterns, trends and correlations that could not be detected by the traditional text-based data. This paper focuses on analysing property data for six suburbs in Sydney using visualisation. Data with 31 elements from the three-year censuses were used to create visual patterns for analysis. Parallel coordinates and dashboard techniques are applied for data visualization for the selected six suburbs. The results suggest that the well-designed data graphics is a powerful tool, and property data visualisation provides us with visual access to huge amounts of data in easily digestible visuals
