NB: The table of contents is responsive in the html file
In this project, I analyzed the pricing of various property listings in Melbourne. The aim of the analysis was to identify the factors that drive the pricing of properties.
The data was messy, therefore I performed data cleaning before I started the analysis.
I leveraged statistical tests like Pearson Product-Moment Correlation Coefficient, One-way ANOVA and Independent t test to validate some of my findings.
I conducted univariate, bivariate and multivariate analysis to understand the distribution of the variables and how they affected each other.
By the end of the analysis, I identified some variables that drive the pricing of property listings.