A multi-page streamlit app for geospatial
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Updated
Oct 8, 2024 - Python
A multi-page streamlit app for geospatial
A data analytics project for exploring housing prices in King County, WA. Compare city and countryside properties with an interactive app and gain detailed insights into real estate market trends.
Data and materials complementary for the publication "Exploring the spatial segmentation of housing markets from online listings".
This fork of the housing scraper is build by Roald1519166 made to get more insight into rental properties on the housing market. This fork exists to help him gain further insight into the collected data by assessing data quality and reliability, and adding new insights using ML, following an advise to improve his passion project.
Research project: Could Interest Rate Hikes Burst The Housing Bubble?
How Are Economies Doing
This repository contains a Python implementation of the Top Trading Cycle Algorithm, a mechanism for solving the problem of allocating indivisible items or resources among agents with preferences. The algorithm is widely used in the field of matching theory, particularly in the context of school choice and house allocation problems.
In this project I analyze the main indicators of Airbnb in Madrid. Among others, I analyze the number of total accommodations, the number of owners, the typology of accommodations, the average price per district and the concentration of properties.
Project to create an agent-based model of the Spanish housing market, derived from the INET@Oxford and BoE agent-based model of the UK housing market.
Austrian housing market information deployed as Dash web app.
This is a large dataset of nearly 7 million rows! Is the Housing Market crashing? Housing market data is most useful at the zip code level. The housing market data will include features such as sale price, homes sold, new listings, days on market, and price drops. This project includes a Tableau Dashboard (link is attached to the readme!)
Bayesian Market Segmentation Algorithm for Hedonic Analysis
Vector Autoregressive Model with 20 variables - Australian Housing Data.
Agent-based model of the UK housing market.
Integration of 7 different datasets in various formats about housing information in Victoria, Australia. And study the effect of different normalization/transformation methods
Project within data analysis intertwined to housing market in Nashville. Data cleaning with Microsoft SQL Server.
Scripts for Bay Area Regional Housing Needs Assessment
Melbourne housing segmentation analysis to evaluate market trends and assess property values
This repository contains a project developed for DATA 78000 (Advanced Interactive Data Visualization Studio) at the CUNY Graduate Center, taught by Professor Aucher Serr.
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