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#

housing-data

Here are 63 public repositories matching this topic...

am-i-rent-stabilized

A web app to inform NYC residents about rent stabilization

  • UpdatedMar 17, 2025
  • JavaScript

Join us to deliver insights, understanding, and solutions to address the housing crisis in the United States.

  • UpdatedJan 3, 2025
  • HTML

將 591 租屋網的資訊,轉換成 JSON 格式

  • UpdatedFeb 16, 2023
  • Python

Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats

  • UpdatedSep 3, 2021

R package to obtain past sales data from allhomes.com.au

  • UpdatedNov 18, 2022
  • R

Data Visualisation application to show the distribution of property values across the City of Vancouver

  • UpdatedJan 31, 2019
  • R

A collection of Machine learning projects provided by coursework in GA, 2017

  • UpdatedFeb 27, 2019
  • Jupyter Notebook

A machine learning project that explores and predicts the prices of houses in Washington, USA

  • UpdatedApr 24, 2022
  • Jupyter Notebook

Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.

  • UpdatedNov 14, 2020
  • R

A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API

  • UpdatedJan 30, 2018
  • R
greater-toronto-area-housing-data

Data scraped from various sites for housing data around the greater Toronto area (GTA). Scrapes happen daily and data is in both JSON and CSV formats. Free to use for analysis.

  • UpdatedMar 23, 2021

R scripts for cleaning Immoscout24/RWI-GEO-RED data

  • UpdatedSep 18, 2023
  • R

A data analysis of the U.S. housing market using Zillow Research and Consumer Price Index (CPI) to compare housing costs and cost of living across multiple U.S. cities.

  • UpdatedJan 21, 2022
  • Jupyter Notebook
  • UpdatedMar 22, 2017
  • Jupyter Notebook

Selected Questions answered from the book and the two different datasets were analyzed and presented

  • UpdatedJun 30, 2020

Exploration and visualisation of the housing market in Denmark, using web scraping

  • UpdatedAug 28, 2023
  • Python

This project looks at the housing data for King County, Washington. I created a predictive model that accurately predicts houses within the lower 75% price bracket to an accuracy of 92%.

  • UpdatedNov 7, 2020
  • Jupyter Notebook

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