Data Visualization & Storytelling

Python, ArcGIS, Highcharts, three.js - Interactive Data Stories

Overview

We turn complex data into clear, interactive stories for decision-makers. With 10+ years working alongside civil engineers, NGOs, city planners, and product/ops teams, we build dashboards, maps, and simulations that are fast, beautiful, and trustworthy.

We pair Python/ArcGIS craft with web viz (Highcharts/three.js) and hint agentic insights, so your visuals not only look great—they explain the "why."

Key Deliverables

Technical Excellence

Approach & Methodology

  • Discovery: Storyboard use-cases with stakeholders; define KPIs and target devices
  • Data audit: Model/clean; define semantic metrics; de-duplicate and index for queries
  • Rapid prototypes: Iterate on layout, interactions, and color/accessibility
  • Performance: Vector tiles/WebGL, server-side pagination, lazy-loading, caching, offline modes
  • Quality: Testing (visual regressions where feasible), documentation, admin panels, handover

Technology Stack

  • Python: Pandas, GeoPandas, NumPy, Plotly, Seaborn, Matplotlib; Streamlit/Dash
  • GIS: ArcGIS Pro/Online & JS API, QGIS; Google Earth Engine
  • Web: Highcharts, three.js, Leaflet; HTML/CSS bundling and performance budgets
  • Backends: FastAPI/Django for data APIs; caching and pagination for big datasets
  • Data: Postgres/PostGIS, MongoDB, BigQuery; file tiling (mbtiles/xyz), CDN friendly

Measurable Impact

Expected Results

  • Shorter time-to-insight with self-serve exploration and automated (agentic) summaries
  • Higher engagement and trust via responsive UX, consistent metrics, and fast renders
  • Lower costs through tile caching, slim payloads, and cloud-native delivery

KPIs We Track

  • p95 render time, map/frame FPS, interaction latency
  • User engagement: retention, click-through on insights, completion of workflows
  • Data freshness and pipeline success rate
  • Downtime/MTTR for the viz stack

How We Work Together

Discovery & Storyboarding → Build & Integrate → Harden & Handover

  • Discovery & Storyboarding (1-2 weeks): Define questions, audiences, and success metrics
  • Build & Integrate (3-6+ weeks): Create dashboards, maps, simulations
  • Harden & Handover (1-2 weeks): Performance optimization, documentation
  • Optional: Training sessions, styleguide/component library, analytics dashboards for UX and adoption

Ready to Get Started?

Let's discuss how Data Visualization & Storytelling can transform your business