This visualization shows a scatter plot of residential property data from the House_Rocket dataset, displaying the relationship between living area and price. Each point represents a house, with data loaded from a CSV file containing 30 property records. The plot encodes the price on the y-axis and living area on the x-axis, with points colored by season of sale (Spring, Summer, Fall, Winter). The author, RenoBlitz, uses this chart to explore potential patterns between home size and price across different selling seasons. The dataset includes additional attributes such as number of bedrooms, bathrooms, and location coordinates, but the visualization focuses primarily on the price-versus-living-area relationship. The chart is generated under the MIT license and is part of a House_Rocket data analysis project.