An interactive executive dashboard designed to make Washington State electric-vehicle registration data understandable, explorable, and useful.
How is electric-vehicle adoption changing across Washington’s counties, manufacturers, vehicle types, and model years?
Structure the analysis around a clear KPI hierarchy, responsive filters, geographic context, market share, and explicit data-quality controls.
A decision-ready view that makes regional differences, adoption patterns, and market leaders visible without overwhelming the user.
Published snapshot labeled July 30, 2026 · all filters cleared. The live dashboard may change; these findings refer to the linked image.
Tesla represents about 41.0% of the 279,081 vehicles shown in the published, unfiltered dashboard snapshot.
Explore manufacturer concentration by county and vehicle type before applying a statewide pattern locally.
King is the top county by registered EV count in the snapshot. The map displays counts, rather than population-adjusted adoption rates.
Use counts for scale; add population or total-vehicle denominators before comparing adoption penetration.
Model year 2023 has the largest cohort in the snapshot, at 60,091 vehicles. These are model years of registered vehicles, not registration dates.
Do not interpret the lower counts for newer model years as a measured decline in annual registrations.
Use the Tableau controls to filter by county, make, model year, and vehicle type. For the best small-screen experience, open the dashboard directly in Tableau.
Top-level KPIs answer the first questions quickly before the user moves into detailed exploration.
Controls align with meaningful business dimensions rather than exposing every available field.
Data-quality checks and clear labels reduce the risk of drawing conclusions from incomplete or inconsistent values.
Discuss the audience, filters and comparisons that would make a dashboard useful for your team.
