HomeFrameworks3D Data Visualization & Analytics
EnterpriseNewv1.0L4 Semantic FrameworkUpdated July 2026

3D Data Visualization & Analytics

Immersive 3D data dashboards with React Three Fiber, instanced meshes, and force-directed graphs

4.8(156 reviews)2.4K installs44 prompts5 stages3D / Web3D
GPT-4Claude

The 3D Data Visualization & Analytics framework gives data engineers, frontend developers, and analytics teams the AI prompt system to build the next generation of data dashboards — ones that live in 3D space rather than flat SVG charts. Built on React Three Fiber with D3 for data processing and instanced meshes for GPU-efficient rendering, every prompt is engineered around the specific challenges of data visualization in WebGL: encoding data as geometry, handling 100K+ data points without frame drops, building interactive exploration with raycasting, and streaming real-time data updates to live meshes. This is the framework for teams who want their analytics to be as impressive as their data.

Full Access Unlocked

All 44 prompts · All 5 modules

30-day money-back guarantee
Secure checkout via Stripe
Lifetime updates (currently v1.0)
Instant delivery after purchase

"The instanced bar chart prompt rendered 8,000 portfolio positions at 60fps on the first try. The per..."

Head of Data Engineering · Fintech, $2B AUM platform

Need expert implementation?

Hire an Orchestrator

Connect with a certified Prompt.Doctor Orchestrator to deploy this framework for you.

How to use this framework

No coding required. You will use ChatGPT or Claude as your AI tool. Follow these steps in order — do not skip ahead.

1

Purchase & download the framework

Click the buy button on this page. After checkout, go to the and hit Download .zip. Unzip it — you'll get a .md file (the full framework) and a .pdf (easy to read reference). Keep both open.

2

Open your project — new or existing

This dashboard is designed to integrate into any existing project or be built as a standalone app. If you already have a site in Airo (or Cursor, Bolt, etc.), open that project. If you're starting fresh, create a new project. The Orchestrator Prompt handles both cases — it scans what's already there and adds only what's missing.

3

Paste the Orchestrator Prompt into your builder's chat

Open the on this page. Copy the Orchestrator Prompt and paste it into your AI builder's chat. It will scaffold the full admin system — secure login, email marketing module, booking engine, and CMS — on top of your existing codebase. This takes 2–5 minutes.

4

Add your API keys as secrets

Critical — Novice Users

In your builder, go to Settings → Secrets and add the keys your app needs. For this framework: STRIPE_SECRET_KEY (for booking payments — get it from your Stripe dashboard), ANTHROPIC_API_KEY (for AI-assisted content — get it from console.anthropic.com), and DATABASE_URL (your MySQL connection string). No key is needed for the admin login, CMS, or email modules — those run on your existing infrastructure.

Don't have a MySQL server?

You can purchase a shared hosting plan with cPanel and MySQL at host.esgwon.dev. Once your account is set up, follow the step-by-step guide to create your database and connect it to your AI website builder.

How to set up cPanel MySQL & connect to your AI website →

Need help with Stripe?

Get your STRIPE_SECRET_KEY and STRIPE_PUBLISHABLE_KEY from your Stripe dashboard. The guide covers test keys, webhook setup, and going live.

Stripe API keys — setup & testing guide →

Need help with Anthropic?

Get your ANTHROPIC_API_KEY from console.anthropic.com. The guide covers model selection, cost management, and troubleshooting.

Anthropic API key — setup & model guide →

Prompting Airo after setup — always name the file

When asking Airo to add tables, columns, or features to the admin dashboard, always include src/server/lib/admin-db.ts in your prompt. Without it, Airo may target the wrong database. Example: "Add a bookings table in the admin database (src/server/lib/admin-db.ts) — do not touch any other database connection in this project."

See safe prompting examples →
5

Run the framework prompts inside your live app

Your app is now running in the builder's preview panel. Open the on this page, copy each prompt one at a time, and paste it into your builder's chat. Replace every [BRACKET] with your real data before sending. Work through the stages in order — each stage output feeds the next.

6

Test end-to-end, then publish or hand off to your client

Walk through the admin as a real user: log in, create a booking, send a test email campaign, update a CMS image, and run the Safe-to-Publish gate. Once everything passes, click Publish in your builder. Because this is a white-label dashboard, your client accesses it at /admin on their own domain — no Prompt.Doctor branding, no third-party login required.

Who is this for?

Data engineering teams building internal analytics tools with 3D visualization
SaaS companies building differentiated analytics features with 3D dashboards
Research teams visualizing complex network graphs, genomic data, or spatial datasets
Creative studios building data art installations and public data experiences

Everything you get

44 production-ready prompts across 5 3D data visualization areas
Instanced mesh system rendering 100K+ data points at 60fps
Force-directed 3D graph with D3-force simulation and R3F rendering
Real-time WebSocket data streaming with live mesh position/color updates
Raycasting tooltip system for interactive data point inspection
Camera fly-to animation for programmatic data exploration

What's Inside

5 modules · 44 prompts · 5 workflow stages

Modules(5 total)

Instanced Data Rendering

InstancedMesh setup for point clouds and bar charts, per-instance color via InstancedBufferAttribute, dynamic instance count updates, and LOD for large datasets

10 prompts

3D Chart Types

Animated 3D bar charts with spring entry, scatter plot with color/size encoding, surface plot from 2D data grid, and treemap with extruded geometry

10 prompts

Force-Directed Graph

D3-force simulation in a Web Worker, R3F rendering of nodes and edges, spring-animated layout convergence, and cluster/group coloring

9 prompts

Real-Time Streaming

WebSocket data ingestion, ring buffer for time-series data, live InstancedMesh position updates, and smooth interpolation between data states

9 prompts

Interaction & Exploration

Raycasting tooltip with data payload, camera fly-to on node click, orbit controls with focus, and data filter/highlight system

6 prompts
Sample Prompts(44 total)
Instanced 3D Bar Chart·GPT-4

Write a React Three Fiber component that renders an animated 3D bar chart using InstancedMesh for a dataset of up to 10,000 bars. Requirements: (1) Accept a prop data: Array<{ id: string, value: number, category: string }> and a colorScale: (category: string) => string function. (2) Use a single InstancedMesh with BoxGeometry(1, 1, 1) — scale each instance on Y to represent value, normalized to a max height of 5 units. Position instances in a grid layout with 0.1 gap. (3) Per-instance color: use InstancedBufferAttribute with a Float32Array of RGB values derived from colorScale. Set mesh.instanceColor to this attribute. (4) Entry animation: on mount and on data change, use useFrame with a spring-like lerp (factor 0.08) to animate each bar's Y scale from 0 to its target value. Store target scales in a useRef Float32Array. (5) Hover interaction: use a Raycaster in useFrame to detect the hovered instance index. On hover, brighten that instance's color by multiplying RGB by 1.3. Show a Drei Html tooltip with the data point's id, value, and category. (6) Export as BarChart3D. Full TypeScript with proper R3F types.

Force-Directed 3D Graph·Claude

Write a React Three Fiber force-directed 3D graph component. Requirements: (1) Accept props: nodes: Array<{ id: string, group: number, label: string }> and links: Array<{ source: string, target: string, strength: number }>. (2) Run D3-force simulation in a Web Worker: use forceSimulation with forceLink (distance 30), forceManyBody (strength -80), forceCenter, and a custom forceZ that adds a Z-axis component (use forceZ = alpha => nodes.forEach(n => n.vz -= n.z * alpha * 0.1)). Post node positions to main thread every 16ms. (3) In the main thread, receive positions and update a useRef positions object. In useFrame, lerp each node mesh position toward its target with factor 0.1. (4) Render nodes as SphereGeometry(0.3) with MeshStandardMaterial colored by group (use a D3 categorical color scale mapped to Three.js Color). Render edges as Line2 (from @react-three/drei) connecting source and target node positions. (5) On node click: camera fly-to animation — lerp camera.position toward node.position + [0, 0, 5] over 60 frames. (6) Label each node with Drei Text (fontSize 0.2, always face camera via billboarding). Full TypeScript.

Workflow Architecture(5 stages)

system

19 prompts

Stage 1

templates

10 prompts

Stage 2

workflow

9 prompts

Stage 3

prompts

6 prompts

Stage 4

Everything included

Instanced mesh system for rendering 100K+ data points at 60fps
Force-directed 3D graph layout using D3-force with R3F rendering
Animated 3D bar charts, scatter plots, and surface plots
Real-time data streaming with WebSocket-driven mesh updates
Raycasting tooltip system for data point inspection
Camera orbit and fly-to animation for data exploration
Color mapping and scale functions for data-to-visual encoding
Full Access Unlocked

What builders say

"The instanced bar chart prompt rendered 8,000 portfolio positions at 60fps on the first try. The per-instance color via InstancedBufferAttribute — not separate meshes — is the pattern that makes large-scale 3D data visualization actually viable."

Ho

Head of Data Engineering

Fintech, $2B AUM platform

"The force-directed 3D graph with Web Worker D3 simulation is exactly the architecture we needed for our protein interaction networks. Running the simulation off the main thread — so the 3D rendering never stutters — is the key insight."

RE

Research Engineer

Genomics visualization lab

You have full access

All 44 prompts across 5 modules are unlocked for your account.

$259$369

Lifetime access