Real-Estate-Housing-analysis

This is a comprehensive Data Science project in which Python is used. Two housing datasets are combined and Sale Price of houses is examined over the time alongwith the factors that affect Sale Price. The key steps of this project are Data Ingestion and Transformation, Data Cleaning, Statistical Overview and Exploratory Data Analysis.

Objective

The main objectives of this project is to perform exploratory data analysis and discover the factors that affect Sale Price and observe the patterns overtime for different factors such as Overall Condition, Overall Quality, Living area and Sale Price.