A comprehensive 3-page interactive Power BI dashboard analysing 2,000+ properties across 26 Dubai locations worth 8.6 Billion AED, enabling data-driven real estate investment decisions.
This dashboard provides comprehensive market intelligence for Dubai's real estate sector, featuring:
- Executive Overview with market-level KPIs and trends
- Location-Specific Analysis with comparative insights
- Detailed Property Listings with advanced filtering and drill-through capabilities
- Which Dubai locations offer the best investment opportunities?
- What is the price differential between premium and standard areas?
- How do property prices vary by type, size, and location?
- What are the market trends across different property categories?
- Market KPIs: Total properties, average price, total market value, average size
- Geographic Distribution: Tree Map showing property count across all 26 locations
- Price Comparison: Top locations by average price
- Property Mix: Distribution by type (Apartment, Villa, Townhouse, Penthouse, Studio)
- Trend Analysis: Price and volume trends over time
- Category Analysis: Bedroom distribution across properties
- Dynamic Location Selector: Choose any of 26 Dubai locations
- Context KPIs: Properties count, average price, price per sqft, market ranking
- Comparative Analysis: Selected location vs all others with market average reference
- Property Mix: Type distribution within selected location
- Price Distribution: Histogram showing price ranges
- Heatmap Matrix: Conditional formatting showing prices across locations and types
- Comprehensive Table: 2,000 property records with 11 key attributes
- Advanced Filtering: Multiple slicers for location, type, bedrooms, price, furnishing, year
- Scatter Analysis: Size vs Price correlation with trendline
- View Analysis: Distribution by view type (Sea, Golf, Garden, City, Marina)
- Drill-Through Navigation: Right-click any location to see detailed properties
- Export Capability: Download filtered data to Excel
- Market Size: 2,000 properties valued at 8.6 Billion AED
- Premium Locations: Downtown Dubai (5.8M), Emirates Hills (5.5M), Palm Jumeirah (5.5M)
- Price Gap: 53% differential between premium (#3 Palm Jumeirah: 5.5M) and standard locations (#24 Discovery Gardens: 3.6M)
- Luxury Market: 39% of properties are 4+ bedrooms, indicating luxury market dominance
- Property Distribution: Balanced mix across types (20% each)
- View Preferences: Equal distribution across all view types (~400 properties each)
- Premium locations (Palm Jumeirah, Emirates Hills, Downtown) show consistent high pricing
- Villas command highest prices in premium locations (9.3M AED in Palm Jumeirah)
- Standard locations like Discovery Gardens offer 35% lower pricing for similar property types
- 5M+ price range dominates the market (36 properties in premium locations)
- Power Query M Code: 15+ calculated columns for enriched analysis
- Data Cleaning: Duplicate removal, null handling, type conversion
- Feature Engineering: Price ranges, property categories, location tiers, size categories
- KPIs: Total Properties, Average Price, Total Value, Price per SqFt
- Comparative: Above/Below Average, Premium vs Standard differential
- Rankings: Location Price Rank, Property Count Rank
- Time Intelligence: Year, Quarter, Month calculations
- Percentages: % of Total, % Furnished, % Above Average
- Conditional: Price Colour coding for formatting
- Drill-Through Navigation: Cross-page interaction from overview to details
- Conditional Formatting: Colour gradients in matrix (blue=low, red=high)
- Interactive Filtering: Dynamic slicers affecting all visuals
- Reference Lines: Market average comparison
- Scatter Analysis: Size-price correlation with trendline
- Export Functionality: Table data export to Excel
- KPI Cards, Tree Map, Bar Charts, Donut Chart, Line & Column Chart
- 100% Stacked Bar, Histogram, Matrix with Heatmap, Scatter Plot, Table
- Power BI Desktop: Dashboard development and visualization
- DAX (Data Analysis Expressions): 30+ measures for calculations
- Power Query M: Data transformation and modelling
- Data Modelling: Relationships and calculated columns
*Market-level insights with KPIs, geographic distribution, and trend analysis*
*Deep dive into Palm Jumeirah showing premium location characteristics*
*Comprehensive property listings with advanced filtering and scatter analysis*
dubai-real-estate-Power BI/
├── Dubai_Real_Estate_Dashboard.pbix # Power BI dashboard file
├── Dubai_Real_Estate_Dataset.csv # Sample dataset
├── README.md # Project documentation
└── screenshots/ # Dashboard screenshots
├── page1-overview.png
├── page2-location-analysis.png
└── page3-property-details.png
- Power BI Desktop (latest version)
- Windows 10 or later
- Download
Dubai_Real_Estate_Dashboard.pbix - Open with Power BI Desktop
- Navigate through 3 pages:
- Overview: Market intelligence
- Location Analysis: Select location from dropdown
- Property Details: View all properties, apply filters
- Drill-Through: Right-click any location → Drill through → Property Details
- Export: Click "..." on table → Export data → Excel
- Synthetically generated realistic Dubai real estate data
- 2,000 property records across 26 Dubai locations
- Property types: Apartment, Villa, Townhouse, Penthouse, Studio
- Date range: 2020-2025
- Property_ID, Property_Type, Location, Bedrooms, Bathrooms
- Size_sqft, Price_AED, Price_per_sqft, Furnishing
- Year_Built, Listing_Date, Amenities, View_Type, Parking_Spaces
This project demonstrates proficiency in:
- ✅ End-to-end Power BI dashboard development
- ✅ Advanced DAX measure creation and optimization
- ✅ Data modelling and transformation with Power Query
- ✅ Interactive visualization design and UX principles
- ✅ Business intelligence and analytical thinking
- ✅ Real estate market analysis and insights generation
- Investment Decision Support: Identify high-ROI locations
- Market Intelligence: Understand pricing dynamics across Dubai
- Portfolio Analysis: Compare properties across multiple dimensions
- Competitive Analysis: Benchmark against market averages
- Location Comparison: Instantly compare 26 Dubai areas
- Price Optimization: Find best value properties
- Trend Analysis: Understand market movements
- Property Search: Advanced filtering for specific requirements
Sukesh Singla
- Data Analyst | Business Intelligence Specialist
- 13+ years experience in data analytics and operations
- Certified in Data Science, Machine Learning, Power BI
- 📧 Email: ssingla25@gmail.com
- 💼 LinkedIn: linkedin.com/in/sukesh-singla-667701a5
- 🌐 Location: Delhi, India | Open to Dubai opportunities
- Complete Dashboard Lifecycle: From data collection to deployment
- Professional Design: Clean, intuitive, and user-friendly interface
- Advanced Features: Drill-through, conditional formatting, dynamic filtering
- Business-Focused: Delivers actionable insights, not just visualizations
- Portfolio-Ready: Demonstrates job-ready Power BI skills
- Integrate Python visuals for advanced analytics
- Add predictive modelling for price forecasting
- Create mobile-optimized layout
- Publish to Power BI Service with scheduled refresh
- Add bookmarks for guided storytelling
- Integrate with real-time Dubai property APIs
This project is open source and available under the MIT License.
- Dubai real estate market research for insights
- Power BI community for best practices
- Data visualization principles from industry standards
If you found this project helpful or interesting, please give it a star! ⭐
Last Updated: January 2025
Status: ✅ Complete and Production-Ready