Hotel Reservations

Housing Data Analysis & Visualization

Project Overview

This project involved cleaning, processing, and visualizing a housing dataset to extract insights into income distribution, population density, and housing characteristics.

Key Tasks & Methodology

Data Cleaning: Removed missing values, handled duplicates, and structured the dataset for analysis.

Exploratory Data Analysis (EDA):

Used pandas to summarize key statistics.

Visualized median_income and population distributions using seaborn.

Technologies & Tools Used

Python (Pandas, Seaborn, Matplotlib)

Data Cleaning & Preprocessing

Exploratory Data Analysis (EDA)

Project Outcome

The dataset was cleaned and structured for further analysis, providing insights into income and population distributions. The visualizations helped uncover trends in housing data.