With this graph, I aim to address the question, "Which neighborhoods in Seattle have the highest concentration of houses for sale?" I found this data available on the web, containing houses for sale between 2014 and 2015 in Seattle. I wanted to explore geospatially where there was the highest concentration of houses for sale. It is evident on this map that the northern part of the city has the highest concentration of points (houses for sale). This could indicate a greater population expansion towards the north. Additionally, I represented the house prices in three colors, revealing that not only are there more houses for sale in the north of Seattle, but they also have a higher price. Finally, the points have two size options, indicating the size of the houses for sale. This allows us to see that in the north of Seattle, the majority of houses for sale have more than 4000 square feet for living.
Design choices: With a geoshape representing the neighborhoods in Seattle and circles marking individual houses. The circle size corresponds to square footage, and the color represents the price range, offering a spatial perspective on the housing market.
- Color: I chose a gradually increasing scale of only 3 colors, making it easy to see where the most expensive houses are located (in the north) and the more affordable ones (in the south).
- Size: The size has only two options, small and large points, making it easy for viewers to compare and allowing them to see the linear relationship between the larger the sqft_living, the higher the house price.
- Map: The map allows us to spatially locate houses for sale and helps answer the question, "Which neighborhoods in Seattle have the highest concentration of houses for sale?" in the northern part of the city!
- Interactions: The bar chart is interactive with the same brush selection, enabling users to see how the price distribution changes based on the selected region on the map. This dual-chart setup not only provides a detailed view of housing attributes but also allows users to understand how the concentration of houses varies across neighborhoods in Seattle.