Local Housing Statistics

Problem Statement

  • Scenario – A local official wants to apply for a federal housing grant, but he can’t find the data he needs and feels overwhelmed by the Census Bureau’s website

  • Issue: Government data sites can be hard for people to navigate.

Chat Demonstration

Questions :

“As per Acs data Show the top 10 counties with Median Gross Rent (in dollars).”

Model Performance

Strengths:

  • The model accurately identifies and ranks the counties with Median Gross Rent.
  • It provides clear and relevant data that is easy to understand.
  • Integrated interactive map to visualization data and to help users explore the data more intuitively.
  • can handle complex data analyses and joins for comprehensive insights.

Weaknesses:

  • Users might need to provide more specific prompts for the model to understand and deliver precise results.

Structured data Model Flow

Improvements

  • Improve the model’s ability to handle more complex queries.

  • Refine the model to handle a broader range of queries and integrate it with metadata to improve accuracy.

  • Add more UI features to make it easier for users to interact with and use the model.

  • Integrate more interactive data visualization tools to help users explore the data more intuitively.

Why is it Important?

  • Accurate Data Insights: Our model ensures the data is accurate and relevant, helping officials make better housing decisions.
  • Easy Exploration: Users can explore data through easy-to-understand interactive maps, tables and visual tools.
  • Precision and Specificity: The model provides precise answers to specific questions,based on user needs.

These Enhancement make housing information more accessible and actionable, aiding better decision-making for communities in Iowa.