This is a repository for STA302 course project This study conducts an exploratory analysis of Toronto apartment ratings, leveraging open data from the City of Toronto’s datasets spanning 2017 to 2023. The comprehensive data cleaning process involves variable selection, type conversion, and handling missing values and outliers. Visualizations, including histograms, boxplots, and scatter plots, provide insights into the dataset. The analysis identifies significant variables correlated with apartment scores and highlights the potential impact of property types on ratings. Recommendations for future work include statistical modeling to assess variable influences on scores and the exploration of geographical information through maps.