data-visualization-mastery

Juan-Martinez16's avatarfrom Juan-Martinez16

Energy-specific charts: project timelines, cost breakdowns, financial projections, geospatial maps. Interactive dashboards for investment decisions.

⭐0stars🔀0forks📁View on GitHub🕐Updated Jan 2, 2026

When & Why to Use This Skill

This Claude skill provides a comprehensive framework for advanced data visualization specifically tailored for the energy sector and oil and gas investment analysis. It enables users to transform complex financial and operational data into interactive dashboards, project timelines, and geospatial maps using industry-leading libraries like D3.js, Plotly, and Mapbox to drive informed decision-making.

Use Cases

  • Project Lifecycle Management: Visualizing drilling phases, subsea installations, and critical paths using interactive Gantt charts to ensure timely project delivery.
  • Financial Investment Appraisal: Generating NPV curves, cash flow waterfalls, and break-even analysis charts to evaluate the economic viability of energy assets.
  • Risk & Sensitivity Analysis: Utilizing Tornado charts and Monte Carlo simulations to visualize how variables like oil price fluctuations impact project profitability.
  • Geospatial Asset Mapping: Creating detailed maps of field locations, subsea infrastructure, and production routes to provide regional context for portfolio management.
  • Cost Control & Reporting: Developing stacked bar and waterfall charts to track CAPEX breakdowns and compare actual expenditures against budgets with variance highlighting.
name'Data Visualization Mastery'
description'Energy-specific charts: project timelines, cost breakdowns, financial projections, geospatial maps. Interactive dashboards for investment decisions.'
enabledtrue

DATA VISUALIZATION MASTERY

Charts & Dashboards for Oil and Gas Investment Analysis

📊 ESSENTIAL CHART TYPES FOR OIL & GAS

Project Timeline Charts (Gantt)

  • Drilling phases: Spud → TD → Completion → Production
  • Development schedule: Subsea installation → FPSO arrival → Commissioning
  • Well intervention timeline: Planning → Rig arrival → Operations → Completion
  • Critical path highlighting: Dependencies, critical vs. non-critical phases
  • Milestone markers: Regulatory approvals, equipment deliveries

Cost Analysis Charts

  • Stacked bar: CAPEX breakdown (wells, subsea, topsides, drilling)
  • Pie chart: Cost distribution (% of total)
  • Waterfall: Cost components flowing to total (add, subtract)
  • Cost per unit: $/Bbl for lifecycle analysis
  • Cost growth: Actuals vs. budget with variance highlighting

Financial Projection Charts

  • NPV curve: Shows discount rate sensitivity (X-axis: rate, Y-axis: NPV)
  • Cash flow waterfall: Annual inflows minus outflows
  • Production forecast: Bbls/day declining over time
  • Revenue vs. expense: Stacked area chart showing profitability window
  • Break-even analysis: When cumulative cash flow turns positive

Risk & Sensitivity Charts

  • Tornado chart: Ranked sensitivity (oil price impact largest bar)
  • Scatter plot: Risk (X) vs. reward (Y) for multiple projects
  • Probability distribution: Monte Carlo results histogram
  • Sensitivity heatmap: NPV vs. two variables (oil price + production)

Geospatial Maps

  • Field location map: Lat/lon markers for wells, facilities
  • Subsea infrastructure: Manifolds, umbilicals, pipelines
  • Production routes: From wellhead → export
  • Regional context: Country boundaries, water depth contours

🛠️ LIBRARY RECOMMENDATIONS & PATTERNS

Chart.js (Fast, Production Dashboards)

  • Best for: Line, bar, area, pie charts
  • Performance: Handles 1000s of data points smoothly
  • Reactivity: Re-render on data change without lag
  • Integration: React wrapper (react-chartjs-2)
  • Use case: Production forecasts, cost breakdowns, monthly dashboards

D3.js (Custom Complex Visualizations)

  • Best for: Tornado charts, custom layouts, advanced interactions
  • Steep learning curve but unlimited customization
  • Approach: Build reusable D3 components
  • Use case: Sensitivity analysis, advanced financial visualizations

Plotly (Financial & Scientific Charts)

  • Best for: NPV curves, confidence intervals, hover interactivity
  • Libraries: plotly.js or react-plotly.js
  • Rich tooltips: Show detailed data on hover
  • 3D support: For complex subsea infrastructure
  • Use case: Financial analysis, scientific data display

Mapbox (Geospatial Oil and Gas Infrastructure)

  • Best for: Field maps, subsea layout visualization
  • Zoom/pan: Interactive exploration
  • Custom layers: Wells as red dots, facilities as blue squares
  • Heat maps: Production by region
  • Use case: Asset portfolio view, field development planning

Recharts (React-Native Charting)

  • Best for: Simple to medium complexity charts with React integration
  • Responsive: Auto-scales to container
  • Animations: Smooth transitions on data update
  • Use case: Responsive dashboards, mobile-friendly charts

📈 IMPLEMENTATION PATTERNS

Responsive Chart Container

// Charts adapt to parent container width
<ResponsiveContainer width="100%" height={400}>
  <LineChart data={data}>
    <XAxis dataKey="year" />
    <YAxis />
    <Tooltip formatter={(val) => `$${val}M`} />
    <Legend />
    <Line type="monotone" dataKey="revenue" stroke="#208090" />
  </LineChart>
</ResponsiveContainer>

Interactive Drill-Down

  • Click chart segment → Filter dashboard below
  • Breadcrumb navigation: Show drill-down path
  • Restore button: Return to original view
  • Example: Click cost bar → See cost detail by subsystem

Real-Time Data Updates

  • Websocket connection: New data pushed to client
  • Chart re-renders: Smooth animation to new values
  • History: Keep last 30 days visible, scroll horizontally
  • No page refresh: Users stay focused on analysis

Export Capabilities

  • PNG download: Chart snapshot for presentations
  • SVG export: Vector format for printing
  • Data download: Raw CSV of chart data
  • PDF report: Multi-chart layout on single page

Performance Optimization

  • Data aggregation: Show every 10th point if > 5000 points
  • Virtual scrolling: Only render visible chart areas
  • Canvas rendering: Use canvas instead of SVG for 10k+ points
  • Lazy loading: Only fetch chart data when tab clicked

🎨 VISUAL BEST PRACTICES

Color Strategy

  • Sequential data (production decline): Blue → light blue (continuous)
  • Diverging data (variance): Red (down) → Green (up)
  • Multiple series: Distinct colors (teal, slate, red, gold)
  • Status colors: Green (good), amber (caution), red (risk)

Labels & Legends

  • Always show units: "$M", "Bbls/day", "%"
  • Currency formatting: $1,234.5M not 1234500000
  • Percentage: 85.2% not 0.852
  • Large numbers: 1.2B not 1200000000
  • Legend position: Right side or bottom, never overlapping data

Annotations & Context

  • Break-even point: Horizontal line with label
  • Important dates: Vertical line (FID date, production start)
  • Zones: Shaded area for development phase, production phase
  • Target line: Planned vs. actual comparison

📱 MOBILE OPTIMIZATION

Responsive Design

  • Desktop: Full legend, all axes, interactive tooltips
  • Tablet: Simplified legend, touch-friendly points
  • Mobile: Chart only, legend below, tap for detail

Touch Interactions

  • Long press: Show detailed tooltip
  • Swipe: Scroll through time series data
  • Pinch: Zoom in/out (for time series)
  • Tap: Drill down or filter

🔄 DATA MANAGEMENT

State Management

  • Chart state: Selected filters, zoom level, visible series
  • Data caching: Cache API responses, update on refresh
  • Filtering: Date range, project filter, scenario selector
  • Comparison mode: Side-by-side of two scenarios

Real-Time Updates

  • Polling: Fetch new data every 30 seconds
  • Websockets: Live push of data changes
  • Graceful degradation: Show stale data if connection lost
  • Sync indicator: Show "Last updated 2 mins ago"