About π California Housing Insights & Analytics Dashboard An interactive, production-grade web application designed to explore California housing market patterns, visualize geographic price distributions, and interface with predictive modeling insights. Built using a modern, performance-first frontend architecture, this dashboard translates complex housing data into actionable visual insights for data scientists, real estate analysts, and homebuyers alike.
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Hey Product Hunt! π
Iβm Duy, the creator of the California Housing Dashboard.
Why I built this:
Traditional real estate portals often hide macro trends behind fragmented search pages, while raw housing datasets (like California housing census data) are locked inside static CSV files or Jupyter Notebooks. I wanted to build a fast, client-centric analytics web application that bridges raw data science with interactive, modern visual exploration.
Key Highlights:
β’ πΊοΈ Geographic Price Distribution: Visual maps detailing spatial pricing patterns across California districts.
β’ π Interactive Analytics: Instant filtering and dynamic chart rendering built with a performance-first frontend stack.
β’ π€ Predictive Model Interface: Explore price relationships alongside predictive modeling metrics.
β’ π 100% Open Source: Code and dataset integration available transparently on GitHub.
Iβd love to hear your feedback! What real estate metrics or interactive filters would you find most useful in a dashboard like this? π π