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Fork of Fork of Fork of AirBNB Price Prediction sandbox - sham

✓ Published0🌍 Public
RRahmoon Shamdeed Kabir
Last edited May 10, 2024
Created on May 10, 2024

This interactive map visualizes AirBNB price prediction data across U.S. states, with Colorado, California, and New York highlighted in green to indicate available predictions. Clicking a highlighted state triggers a zoom transition using `d3.geo.path` with an Albers USA projection, and selecting Colorado replaces the map with a detailed Denver neighborhood map rendered via `d3.geo.mercator`. The visualization uses `d3.json` to load TopoJSON state boundaries and GeoJSON city data, alongside a CSV of Denver listings and predictions. The code includes placeholder logic for return navigation and tooltip features that remain unimplemented.

AI-generated description

This project aims to visualize an AirBNB pricing prediction model. We aim to do this by filling out the states we have predictions for in green. When a state is clicked it is supposed to zoom into another geojson map that shows the city with listing on it. From this data we want to see where pricings for listings are generally jacked up (touristy sites, downtown, etc.) we observe the data by analyzing clusters or patterns.

Things that need to be implemented/are missing currently:

  • popping out city maps: for this to work for now, user would have to double click or go down the page.
  • fixing zooming transition for states that have predictions: the zooming transition gets overriden when another map is being popped out
  • adding a tooltip to city map to see listing type and pricing
  • marking listings in specific colors so that it is easier to see pricings that are higher or lower than the predictions
MIT Licensed

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