Welcome👋, in this project, which involved analyzing a dataset of 21,000 properties to discern the impact of size versus location on real estate prices. I imported and cleansed data from a CSV file, unveiling key insights. Additionally, I explored the dataset through data visualization techniques, analyzed the relationship between home prices and area, and mapped the geographic distribution of properties 🚀.

• Organize information using basic Python data structures📊🐍

• Import data from CSV files and clean it using the pandas library📈📊🧹

• Create data visualizations like scatter and box plots📊📉📦

• Examine the relationship between two variables using correlation🔍🔄

• Distribution of Home Prices

• Mean Home Price by Region

• Scatter Price vs Area

• Scatter Map Location of Properties-

• Click here to access to the open source data from properati

• Click here to access to the code source of the project