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Visualizing Housing Market Trends | Data Analysis Project In this project, I analyzed housing market data to identify patterns and trends in property prices using data visualization tools. The goal of this project is to help understand how different factors like location, number of bedrooms, square footage, and other features influence house sale prices. Using data analytics techniques, I explored the dataset and created interactive visualizations to reveal important insights about the housing market. Project Highlights Data cleaning and preprocessing of housing dataset Exploratory Data Analysis (EDA) Identifying trends in house prices Visualizing relationships between features and sale price Building dashboards to present insights clearly Tools & Technologies Used Tableau / Power BI Python (Pandas, NumPy) Data Visualization Techniques Key Insights Price variations based on property features Relationship between house size and price Market trends based on different property attributes This project demonstrates how *data visualization can transform raw housing data into meaningful insights for better decision-making in real estate and market analysis.* Project Repository https://github.com/Ayus-hi/Visualizing-Hou... This project is part of my **Data Analytics portfolio**, showcasing my ability to analyze datasets and present insights through visualization. If you found this project helpful, don't forget to *Like, Share, and Subscribe!* #DataAnalytics #Tableau #PowerBI #DataVisualization #HousingMarket #DataScienceProjects