Exploratory Analysis of the New York Real Estate Market

Cleaning and analysis of about 190,000 property sales across New York’s five boroughs (2021–2022).

Data Science · Course: Foundations of Financial Data Science · Fall 2026

Description

Cleaning, integration and analysis of about 190,000 property sales across New York’s five boroughs (2021–2022), comparing prices and dynamics by residential type, borough and period. Cleaning choices include excluding non-market transfers, identifying bulk sales and handling outliers on a log scale. A second part segments user behavior (impressions and click-through rate) on the New York Times homepage.

Skills

Data cleaning, handling missing values and outliers, exploratory analysis, segmentation, reproducible reporting.

Tools

R (dplyr, ggplot2, readxl, knitr), R Markdown, LaTeX.

Models

Descriptive statistics, 1.5×IQR rule on log prices, skewness analysis, CTR by segment.

Educational projects. Any results are hypothetical, based on historical or simulated data, and are not indicative of future returns. Nothing on these pages constitutes investment advice or a solicitation to invest.

Next project: Thesis: Audit, Accounting Fraud and the Beneish M-Score

Open