Projects

Home affordability map prototype

Built before AI

A choropleth MVP for a consumer advice platform

Client
ConsumerAffairs
Year
2024
Home affordability map prototype, image 1

What I did

Customer review and consumer news platform ConsumerAffairs hired me to create a simple map visualisation MVP as a proof of concept for future mapping solutions to enhance consumer advice pages. This one was about affordability in the home market, with different parameters visualised on the state and county level.

I used a light mapbox basemap, a Natural Break (Jenks) algorithm to classify counties into colour groups, Next.js for the web app and API routes for auth and upload functionality.

The prototype provides the ability to upload a new set of market data via CSV, where storage uses a simple Redis database on Upstash.

The map uses Geojson and layer manipulation to create dynamic colouring, hover interactivity, top 10 pins, and info popups.

A TanStack Table is used to provide a live sortable and filterable counties table that responds to map actions. Radix UI is the UI library.

Images

Home affordability map prototype, image 2
Home affordability map prototype, image 3
Home affordability map prototype, image 4

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