HomeAI & Machine LearningBuilding a Multi-Panel Analytics Dashboard

📊 Building a Multi-Panel Analytics Dashboard

A 3D coordinated dashboard of ranked bars, a cost/revenue bubble scatter, and a colour-scaled risk bar — linked highlighting shows how site-selection decisions emerge from multiple views at once.

AI & Machine Learning3DAdvanced60 FPS
plotly-multi-panel-dashboards-for-site-selection-analytics-lab ↗ Open standalone

Eight candidate sites rendered across three linked 3D panels — a ranked bar chart, a cost/revenue bubble scatter, and a colour-scaled risk bar — so you can see how a decision changes when the weighting or risk tolerance shifts.

🔬 What It Demonstrates

Composite scores are recomputed live from a weighted blend of revenue and cost, re-sorting and re-growing the bars; risk-tolerant filtering fades out sites simultaneously in every panel, showing how coordinated views turn several charts into one decision instrument.

🎮 How to Use

Pick a site from the dropdown to trace it across all three panels with glowing dashed connectors. Drag the revenue-weight and risk-tolerance sliders to watch the ranking and highlighted "best site" update in real time.

💡 Did You Know?

This pattern — called linked brushing or coordinated multiple views — is exactly what tools like Plotly subplots or Tableau dashboards do: selecting one mark highlights its counterpart everywhere else on the page.

⚙ Under the hood

A 3D coordinated dashboard of ranked bars, a cost/revenue bubble scatter, and a colour-scaled risk bar — linked highlighting shows how site-selection decisions emerge from multiple views at once.

data visualizationanalytics dashboard3d graphicsinteractive simulationbusiness intelligencedata analysisThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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