An interactive Tableau dashboard built to analyze electric vehicle adoption, trends, and distribution across the United States.
“Data-driven insights help shape smarter and more sustainable decisions.”
This project focuses on analyzing electric vehicle (EV) data to uncover meaningful insights related to adoption growth, vehicle types, geographic distribution, and manufacturer dominance.
The dashboard presents key metrics and trends in a clear, interactive, and data-driven format.
I chose this project to better understand how data can be used to analyze real-world sustainability trends and emerging technologies.
Electric vehicles represent a rapidly growing industry, and analyzing EV data helps uncover patterns in adoption, regional growth, and consumer preferences.
This project allowed me to:
- Work with a real-world dataset
- Practice analytical thinking and storytelling
- Build an end-to-end Tableau dashboard
- Translate raw data into clear, actionable insights
- Total Vehicles: 150,422
- Total BEV Vehicles: 116,750
- Total PHEV Vehicles: 33,675
- Average Electric Range: 67.83 miles
- CAFV Eligibility Distribution
The dashboard highlights:
-
Vehicle Growth by Model Year
Shows the rapid increase in EV adoption over recent years. -
Geographic Distribution by State
Identifies states with higher EV adoption. -
Top 10 Manufacturers
Highlights leading EV manufacturers and their market share. -
CAFV Eligibility Analysis
Examines Clean Alternative Fuel Vehicle eligibility across vehicles. -
Vehicle Model Comparison
Analyzes total vehicles by model, make, and type (BEV vs PHEV).
The dashboard includes interactive filters for:
- CAFV eligibility
- Vehicle type (BEV / PHEV)
- Model
- State
These filters enable users to explore trends dynamically and focus on specific segments.
- Tableau — Data visualization and dashboard creation
- Data Cleaning & Preparation
- Calculated Fields & Aggregations
- Interactive Filters & KPIs
- Tableau workbook (
.twb/.twbx) - README documentation
This dashboard can be used to:
- Analyze electric vehicle adoption trends
- Identify leading manufacturers
- Understand regional EV distribution
- Support sustainability and market analysis
- GitHub: https://github.com/Prer26
- LinkedIn: www.linkedin.com/in/prerana-26b489295
Built with curiosity, clarity, and data-driven thinking.