Real estate brokers are the....

Functions in R for downloading real estate data from sreality.cz.

My entry for: http://summerdatachallenge.com (I came 3rd)

Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process

Interactive map for spatial distance scores

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

Determine the maximum home you can afford

Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…

Access VALUE market data using R

Bayesian multilevel modeling of real estate sales in NYC

Investigates how home size, number of bedrooms, and bathrooms influence home prices, with comparisons across California, New York, New Jersey, and Pennsylvania.

Understanding Real Estate Market Through Zillow Economic Data: a Time-Series and Machine Learning Approach

Create a dataset with sale price estimates for over 700k buildings in New York City.

The purpose of this study is plot and analyzing mean, median, standard deviation, variance, skewness and kurtosis of the real estate prices in various regions in Poland.

Applying fraud analysis in the NY Property Tax dataset with 1048575 observations and 30 variables

This project provides hands-on experience in data handling, cleaning, exploration, and visualization using R. By delving into both real estate and ad click datasets, participants gain insights into user behavior, website usability, and advertising trends.

A ShinyR app for analyzing recently sold data from Redfin.com to find comparables of homes you maybe interested in purchasing.

Real Estate Apprasial Language

Scrape data to visualize Allegheny County local and property tax by municipality