Immersive real estate explorer

🏠 Melbourne Property Data Visualization Suite

Interactive multi-dimensional analysis with Pareto optimization, clustering, and advanced insights.

Live CSV uploads Multi-view analytics Shift + click multi-select
Color control 6 palettes
Optimization Pareto ready
Exports CSV + JSON
Curate data, palettes, and exports

Upload your dataset, tune the color mapping, and reset or clear selections without losing context.

Data & Visualization Controls
Data Filters
🏘️ Quick Suburb Selection

Inner City

Eastern Suburbs

Northern Suburbs

Western Suburbs

Southern Suburbs

Unbucketed Suburbs

πŸ—ΊοΈ Geographic Distribution
Click on properties to see details. Hold Shift to select multiple.
β–³ Ternary Diagram
Shows normalized distribution across Price, Area, and Bedrooms
πŸ“ˆ Value vs Living Standards
Value (Price/Area) vs living standards (total area of the house/number of bedrooms).

No properties selected. Click on points to select.

Pareto Optimization Controls
⭐ Pareto Frontier Analysis

Pareto Frontier: Properties that are not dominated by any other property in the selected objectives.

Blue points are Pareto optimal (best trade-offs). Gray points are dominated.

Selection History

Recent properties you clicked or locked. Copy addresses or export the table for follow-up.

# Address Suburb Price Rooms Selected Actions
No selections yet. Click on any point to start building history.
Heatmap Controls
🌑️ Spatial Price Distribution Heatmap
Spatial heatmap showing aggregated property values across geographic regions. Hover over cells for details.
Parallel Coordinates Controls
When enabled, selections made in this view will filter data across all visualizations
Reset all brushes to return to the unfiltered state.
Choose which metric drives the line colors.
πŸ“Š Parallel Coordinates - Multi-Dimensional Analysis

How to use: Drag vertically on any axis to filter properties. Each line represents a property.

Hover over lines to see details. Click lines to select properties.

Global Filter: Enable the toggle above to use your selections here as a filter across all views.

Time Series Controls
πŸ“ˆ Property Price Trends Over Time
Shows how property prices or sales volume have changed over time. Adjust aggregation and grouping above.
Clustering Controls
🎯 K-Means Clustering Analysis

K-Means Clustering: Properties are grouped based on similarity across multiple attributes.

Each color represents a cluster. Cross marks (βœ•) indicate cluster centroids.